| A Clustering-based framework for Classifying Data Streams |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| A Description Logic for Analogical Reasoning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Game-Theoretic Account of Responsibility Allocation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Ladder of Causal Distances |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A New Upper Bound Based on Vertex Partitioning for the Maximum K-plex Problem |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| A Novel Sequence-to-Subgraph Framework for Diagnosis Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Rule Mining-based Advanced Persistent Threats Detection System |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| A Sequence-to-Set Network for Nested Named Entity Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Sketch-Transformer Network for Face Photo-Sketch Synthesis |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| A Streaming End-to-End Framework For Spoken Language Understanding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Uniform Abstraction Framework for Generalized Planning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| ALaSca: an Automated approach for Large-Scale Lexical Substitution |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| AVA: Adversarial Vignetting Attack against Visual Recognition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Abductive Knowledge Induction from Raw Data |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Abductive Learning with Ground Knowledge Base |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Abstract Argumentation Frameworks with Domain Assignments |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Accelerating Neural Architecture Search via Proxy Data |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Accomplice Manipulation of the Deferred Acceptance Algorithm |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Accounting for Confirmation Bias in Crowdsourced Label Aggregation |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Active Goal Recognition Design |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Adaptive Edge Attention for Graph Matching with Outliers |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Addressing the Long-term Impact of ML Decisions via Policy Regret |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Adversarial Feature Disentanglement for Long-Term Person Re-identification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Against Membership Inference Attack: Pruning is All You Need |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| AgeFlow: Conditional Age Progression and Regression with Normalizing Flows |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Altruism Design in Networked Public Goods Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Axiom System for Feedback Centralities |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| An Examination of Fairness of AI Models for Deepfake Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Anytime Multi-Agent Path Finding via Large Neighborhood Search |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Asynchronous Active Learning with Distributed Label Querying |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Asynchronous Multi-grained Graph Network For Interpretable Multi-hop Reading Comprehension |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Automatic Mixed-Precision Quantization Search of BERT |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Automatic Translation of Music-to-Dance for In-Game Characters |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Average-Reward Reinforcement Learning with Trust Region Methods |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| BAMBOO: A Multi-instance Multi-label Approach Towards VDI User Logon Behavior Modeling |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| BESA: BERT-based Simulated Annealing for Adversarial Text Attacks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Backdoor DNFs |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Bayesian Experience Reuse for Learning from Multiple Demonstrators |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Bipartite Matching for Crowd Counting with Point Supervision |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Boosting Offline Reinforcement Learning with Residual Generative Modeling |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Boosting Variational Inference With Locally Adaptive Step-Sizes |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Boundary Knowledge Translation based Reference Semantic Segmentation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Bounded Predicates in Description Logics with Counting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Bounded-cost Search Using Estimates of Uncertainty |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Budget-Constrained Coalition Strategies with Discounting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Budget-feasible Maximum Nash Social Welfare is Almost Envy-free |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Budget-feasible Mechanisms for Representing Groups of Agents Proportionally |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| CIMON: Towards High-quality Hash Codes |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Cardinality Queries over DL-Lite Ontologies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Causal Discovery with Multi-Domain LiNGAM for Latent Factors |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Change Matters: Medication Change Prediction with Recurrent Residual Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Change the World - How Hard Can that Be? On the Computational Complexity of Fixing Planning Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Choice Logics and Their Computational Properties |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Choosing the Right Algorithm With Hints From Complexity Theory |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Chop Chop BERT: Visual Question Answering by Chopping VisualBERT’s Heads |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Combining Fairness and Optimality when Selecting and Allocating Projects |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Compositional Neural Logic Programming |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Compressing Exact Cover Problems with Zero-suppressed Binary Decision Diagrams |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Computing Optimal Hypertree Decompositions with SAT |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Conditional Self-Supervised Learning for Few-Shot Classification |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Consistent Inference for Dialogue Relation Extraction |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Context-Aware Image Inpainting with Learned Semantic Priors |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Context-aware Cross-level Fusion Network for Camouflaged Object Detection |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Contrastive Losses and Solution Caching for Predict-and-Optimize |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
5 |
| Contrastive Model Invertion for Data-Free Knolwedge Distillation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Convexified Graph Neural Networks for Distributed Control in Robotic Swarms |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Cooperation in Threshold Public Projects with Binary Actions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Correlation-Guided Representation for Multi-Label Text Classification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Coupling Intent and Action for Pedestrian Crossing Behavior Prediction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Cross-Domain Few-Shot Classification via Adversarial Task Augmentation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Cross-Domain Slot Filling as Machine Reading Comprehension |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CuCo: Graph Representation with Curriculum Contrastive Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Custom-Design of FDR Encodings: The Case of Red-Black Planning |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DACBench: A Benchmark Library for Dynamic Algorithm Configuration |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DEEPSPLIT: An Efficient Splitting Method for Neural Network Verification via Indirect Effect Analysis |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Data-Efficient Reinforcement Learning for Malaria Control |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Decision Making with Differential Privacy under a Fairness Lens |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Decomposable-Net: Scalable Low-Rank Compression for Neural Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Decomposition Strategies to Count Integer Solutions over Linear Constraints |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Decomposition-Guided Reductions for Argumentation and Treewidth |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Deep Automatic Natural Image Matting |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Bucket Elimination |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Deep Descriptive Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Reinforcement Learning Boosted Partial Domain Adaptation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Reinforcement Learning for Navigation in AAA Video Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Deep Unified Cross-Modality Hashing by Pairwise Data Alignment |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DeepME: Deep Mixture Experts for Large-scale Image Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Dependent Multi-Task Learning with Causal Intervention for Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Detecting Deepfake Videos with Temporal Dropout 3DCNN |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Dialogue Disentanglement in Software Engineering: How Far are We? |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Differentially Private Correlation Alignment for Domain Adaptation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Differentially Private Pairwise Learning Revisited |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Direct Measure Matching for Crowd Counting |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Direction-aware Feature-level Frequency Decomposition for Single Image Deraining |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Discrete Multiple Kernel k-means |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Disentangled Face Attribute Editing via Instance-Aware Latent Space Search |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Distance Polymatrix Coordination Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Diversity in Kemeny Rank Aggregation: A Parameterized Approach |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Document-level Relation Extraction as Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Dominant Resource Fairness with Meta-Types |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
3 |
| Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dual Active Learning for Both Model and Data Selection |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dual Reweighting Domain Generalization for Face Presentation Attack Detection |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Dual-Cross Central Difference Network for Face Anti-Spoofing |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dynamic Inconsistency-aware DeepFake Video Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Dynamic Proportional Rankings |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
3 |
| Efficient Black-Box Planning Using Macro-Actions with Focused Effects |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Efficient PAC Reinforcement Learning in Regular Decision Processes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Efficiently Explaining CSPs with Unsatisfiable Subset Optimization |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Electrocardio Panorama: Synthesizing New ECG views with Self-supervision |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| EmbedMask: Embedding Coupling for Instance Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Emergent Prosociality in Multi-Agent Games Through Gifting |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Enhance Image as You Like with Unpaired Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Enhancing Label Representations with Relational Inductive Bias Constraint for Fine-Grained Entity Typing |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Epsilon Best Arm Identification in Spectral Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Even More Effort Towards Improved Bounds and Fixed-Parameter Tractability for Multiwinner Rules |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Event-based Action Recognition Using Motion Information and Spiking Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| EventDrop: Data Augmentation for Event-based Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Evolutionary Gradient Descent for Non-convex Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exact Acceleration of K-Means++ and K-Means|| |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Exemplification Modeling: Can You Give Me an Example, Please? |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Explaining Deep Neural Network Models with Adversarial Gradient Integration |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Explaining Self-Supervised Image Representations with Visual Probing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Fair Pairwise Exchange among Groups |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fair and Efficient Resource Allocation with Partial Information |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fairness in Long-Term Participatory Budgeting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fast Algorithms for Relational Marginal Polytopes |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Fast Multi-label Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Faster Smarter Proof by Induction in Isabelle/HOL |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Feature Space Targeted Attacks by Statistic Alignment |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FedSpeech: Federated Text-to-Speech with Continual Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Federated Learning with Fair Averaging |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Federated Model Distillation with Noise-Free Differential Privacy |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Few-Shot Partial-Label Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Few-shot Neural Human Performance Rendering from Sparse RGBD Videos |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Fine-Grained Air Quality Inference via Multi-Channel Attention Model |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Fine-grained Generalization Analysis of Structured Output Prediction |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
2 |
| Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Fractional Matchings under Preferences: Stability and Optimality |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| GAEN: Graph Attention Evolving Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| GASP: Gated Attention for Saliency Prediction |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| GM-MLIC: Graph Matching based Multi-Label Image Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Game-theoretic Analysis of Effort Allocation of Contributors to Public Projects |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Generalized Kings and Single-Elimination Winners in Random Tournaments |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Generative Adversarial Neural Architecture Search |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Graph Debiased Contrastive Learning with Joint Representation Clustering |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Graph Deformer Network |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Graph Filter-based Multi-view Attributed Graph Clustering |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Graph-Free Knowledge Distillation for Graph Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| GraphMI: Extracting Private Graph Data from Graph Neural Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| GraphReach: Position-Aware Graph Neural Network using Reachability Estimations |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Graphical Cake Cutting via Maximin Share |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Guaranteeing Maximin Shares: Some Agents Left Behind |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Guided Attention Network for Concept Extraction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Handling Overlaps When Lifting Gaussian Bayesian Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Heterogeneous Graph Information Bottleneck |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Heuristic Search for Approximating One Matrix in Terms of Another Matrix |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Hiding Numerical Vectors in Local Private and Shuffled Messages |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Hierarchical Class-Based Curriculum Loss |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Hierarchical Self-supervised Augmented Knowledge Distillation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Hierarchical Temporal Multi-Instance Learning for Video-based Student Learning Engagement Assessment |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Hindsight Trust Region Policy Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Human-AI Collaboration with Bandit Feedback |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| HyperLDLf: a Logic for Checking Properties of Finite Traces Process Logs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Identifying Norms from Observation Using MCMC Sampling |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Improved Algorithms for Allen's Interval Algebra: a Dynamic Programming Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Improved CP-Based Lagrangian Relaxation Approach with an Application to the TSP |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Improving Multi-agent Coordination by Learning to Estimate Contention |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Improving Sequential Recommendation Consistency with Self-Supervised Imitation |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Improving Stylized Neural Machine Translation with Iterative Dual Knowledge Transfer |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Improving Text Generation with Dynamic Masking and Recovering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Improving Welfare in One-Sided Matchings using Simple Threshold Queries |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Inconsistency Measurement for Paraconsistent Inference |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Incorporating Queueing Dynamics into Schedule-Driven Traffic Control |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Independence-aware Advantage Estimation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Information Bottleneck Approach to Spatial Attention Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Intensional and Extensional Views in DL-Lite Ontologies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Interacting with Explanations through Critiquing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Interaction Considerations in Learning from Humans |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Interference-free Walks in Time: Temporally Disjoint Paths |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Interpretable Compositional Convolutional Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Interpretable Minority Synthesis for Imbalanced Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Isotonic Data Augmentation for Knowledge Distillation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Item Response Ranking for Cognitive Diagnosis |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Jointly Learning Prices and Product Features |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Keep Your Distance: Land Division With Separation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Kemeny Consensus Complexity |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Knowledge Consolidation based Class Incremental Online Learning with Limited Data |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Knowledge-based Residual Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| LTL-Constrained Steady-State Policy Synthesis |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Laughing Heads: Can Transformers Detect What Makes a Sentence Funny? |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Layer-Assisted Neural Topic Modeling over Document Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learn from Concepts: Towards the Purified Memory for Few-shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Learn the Highest Label and Rest Label Description Degrees |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning 3-D Human Pose Estimation from Catadioptric Videos |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Learning Aggregation Functions |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Attributed Graph Representation with Communicative Message Passing Transformer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning CNF Theories Using MDL and Predicate Invention |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Learning Class-Transductive Intent Representations for Zero-shot Intent Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Learning Generalized Unsolvability Heuristics for Classical Planning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Groupwise Explanations for Black-Box Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Implicit Temporal Alignment for Few-shot Video Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Implicitly with Noisy Data in Linear Arithmetic |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Learning Interpretable Concept Groups in CNNs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Spectral Dictionary for Local Representation of Mesh |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Stochastic Equivalence based on Discrete Ricci Curvature |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Temporal Plan Preferences from Examples: An Empirical Study |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Learning Visual Words for Weakly-Supervised Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Within an Instance for Designing High-Revenue Combinatorial Auctions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning from Complementary Labels via Partial-Output Consistency Regularization |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning in Markets: Greed Leads to Chaos but Following the Price is Right |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning with Selective Forgetting |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Leveraging Human Attention in Novel Object Captioning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lifting Symmetry Breaking Constraints with Inductive Logic Programming |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| Likelihood-free Out-of-Distribution Detection with Invertible Generative Models |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Local Representation is Not Enough: Soft Point-Wise Transformer for Descriptor and Detector of Local Features |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Loyalty in Cardinal Hedonic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| ME-MCTS: Online Generalization by Combining Multiple Value Estimators |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MRD-Net: Multi-Modal Residual Knowledge Distillation for Spoken Question Answering |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Manipulation of k-Coalitional Games on Social Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Masked Contrastive Learning for Anomaly Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Matchings with Group Fairness Constraints: Online and Offline Algorithms |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
2 |
| Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Mean Field Games Flock! The Reinforcement Learning Way |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Medical Image Segmentation using Squeeze-and-Expansion Transformers |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Meta-Reinforcement Learning by Tracking Task Non-stationarity |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Method of Moments for Topic Models with Mixed Discrete and Continuous Features |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Minimization of Limit-Average Automata |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Modality-aware Style Adaptation for RGB-Infrared Person Re-Identification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Modeling Precomputation In Games Played Under Computational Constraints |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Modeling Trajectories with Neural Ordinary Differential Equations |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Monte Carlo Filtering Objectives |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Multi-Agent Belief Base Revision |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-Agent Intention Progression with Black-Box Agents |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Multi-Cause Effect Estimation with Disentangled Confounder Representation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Channel Pooling Graph Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Hop Fact Checking of Political Claims |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Objective Reinforcement Learning for Designing Ethical Environments |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-hop Attention Graph Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-level Generative Models for Partial Label Learning with Non-random Label Noise |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-version Tensor Completion for Time-delayed Spatio-temporal Data |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Multi-view Feature Augmentation with Adaptive Class Activation Mapping |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MultiMirror: Neural Cross-lingual Word Alignment for Multilingual Word Sense Disambiguation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Multimodal Transformer Networks for Pedestrian Trajectory Prediction |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Neural Architecture Search of SPD Manifold Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Neural Regret-Matching for Distributed Constraint Optimization Problems |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| New Algorithms for Japanese Residency Matching |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Node-wise Localization of Graph Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Noise2Grad: Extract Image Noise to Denoise |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Non-Parametric Stochastic Sequential Assignment With Random Arrival Times |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Novelty Detection via Contrastive Learning with Negative Data Augmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Objective-aware Traffic Simulation via Inverse Reinforcement Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On Belief Change for Multi-Label Classifier Encodings |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Cycles, Attackers and Supporters --- A Contribution to The Investigation of Dynamics in Abstract Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Explaining Random Forests with SAT |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| On Guaranteed Optimal Robust Explanations for NLP Models |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| On Self-Distilling Graph Neural Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| On Smoother Attributions using Neural Stochastic Differential Equations |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| On Weak Stubborn Sets in Classical Planning |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| On a Competitive Secretary Problem with Deferred Selections |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Convergence of Stochastic Compositional Gradient Descent Ascent Method |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| On the Intrinsic Differential Privacy of Bagging |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| On the Parameterized Complexity of Polytree Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the Relation Between Approximation Fixpoint Theory and Justification Theory |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| One-Shot Affordance Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Online Learning of Action Models for PDDL Planning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Online Risk-Averse Submodular Maximization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Online Selection of Diverse Committees |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Optimal Algorithms for Range Searching over Multi-Armed Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Ordering-Based Causal Discovery with Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| PROPm Allocations of Indivisible Goods to Multiple Agents |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Partial Multi-Label Optimal Margin Distribution Machine |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Participatory Budgeting with Project Groups |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Phonovisual Biases in Language: is the Lexicon Tied to the Visual World? |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Physics-informed Spline Learning for Nonlinear Dynamics Discovery |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
3 |
| Picking Sequences and Monotonicity in Weighted Fair Division |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Point-based Acoustic Scattering for Interactive Sound Propagation via Surface Encoding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Positive-Unlabeled Learning from Imbalanced Data |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Practical One-Shot Federated Learning for Cross-Silo Setting |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Predictive Job Scheduling under Uncertain Constraints in Cloud Computing |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Preference-Adaptive Meta-Learning for Cold-Start Recommendation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Private Stochastic Non-convex Optimization with Improved Utility Rates |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Probabilistic Sufficient Explanations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Program Synthesis as Dependency Quantified Formula Modulo Theory |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Progressive Open-Domain Response Generation with Multiple Controllable Attributes |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Provable Guarantees on the Robustness of Decision Rules to Causal Interventions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Pruning of Deep Spiking Neural Networks through Gradient Rewiring |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Putting a Compass on the Map of Elections |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Ranking Extensions in Abstract Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Real-Time Pricing Optimization for Ride-Hailing Quality of Service |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Reasoning About Agents That May Know Other Agents’ Strategies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Reasoning about Beliefs and Meta-Beliefs by Regression in an Expressive Probabilistic Action Logic |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Reasoning over Argument-Incomplete AAFs in the Presence of Correlations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Reconciling Rewards with Predictive State Representations |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
2 |
| Reducing SAT to Max2SAT |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Regularising Knowledge Transfer by Meta Functional Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reinforcement Learning for Route Optimization with Robustness Guarantees |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Relational Gating for ''What If'' Reasoning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Relaxed Core Stability in Fractional Hedonic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Rescuing Deep Hashing from Dead Bits Problem |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Reward-Constrained Behavior Cloning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust Regularization with Adversarial Labelling of Perturbed Samples |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Robustly Learning Composable Options in Deep Reinforcement Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SURPRISE! and When to Schedule It. |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Scalable Non-observational Predicate Learning in ASP |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| School Choice with Flexible Diversity Goals and Specialized Seats |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Secure Deep Graph Generation with Link Differential Privacy |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Segmenting Transparent Objects in the Wild with Transformer |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Self-Guided Community Detection on Networks with Missing Edges |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Self-Supervised Adversarial Distribution Regularization for Medication Recommendation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Self-Supervised Video Action Localization with Adversarial Temporal Transforms |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Self-boosting for Feature Distillation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Self-supervised Network Evolution for Few-shot Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling Strategy |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN) |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Skeptical Reasoning with Preferred Semantics in Abstract Argumentation without Computing Preferred Extensions |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Solving Continuous Control with Episodic Memory |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Solving Graph Homomorphism and Subgraph Isomorphism Problems Faster Through Clique Neighbourhood Constraints |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Solving Math Word Problems with Teacher Supervision |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Solving Partially Observable Stochastic Shortest-Path Games |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Stability and Generalization for Randomized Coordinate Descent |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Step-Wise Hierarchical Alignment Network for Image-Text Matching |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Stochastic Actor-Executor-Critic for Image-to-Image Translation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Stochastic Market Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Stochastic Probing with Increasing Precision |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Stochastic Shortest Path with Adversarially Changing Costs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Strategyproof Randomized Social Choice for Restricted Sets of Utility Functions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Structure Guided Lane Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Surprisingly Popular Voting Recovers Rankings, Surprisingly! |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Synthesizing Good-Enough Strategies for LTLf Specifications |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Tango: Declarative Semantics for Multiagent Communication Protocols |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| Temporal Heterogeneous Information Network Embedding |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Temporal Induced Self-Play for Stochastic Bayesian Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Temporal and Object Quantification Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Text-based Person Search via Multi-Granularity Embedding Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| The Fewer the Merrier: Pruning Preferred Operators with Novelty |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| The Parameterized Complexity of Connected Fair Division |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Successful Ingredients of Policy Gradient Algorithms |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Surprising Power of Graph Neural Networks with Random Node Initialization |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| The Traveling Tournament Problem with Maximum Tour Length Two: A Practical Algorithm with An Improved Approximation Bound |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Themis: A Fair Evaluation Platform for Computer Vision Competitions |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
5 |
| Thompson Sampling for Bandits with Clustered Arms |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Time-Aware Multi-Scale RNNs for Time Series Modeling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Time-Series Representation Learning via Temporal and Contextual Contrasting |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Toward Optimal Solution for the Context-Attentive Bandit Problem |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards Compact Single Image Super-Resolution via Contrastive Self-distillation |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Towards Generating Summaries for Lexically Confusing Code through Code Erosion |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Towards Reducing Biases in Combining Multiple Experts Online |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards Robust Model Reuse in the Presence of Latent Domains |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Understanding the Spectral Bias of Deep Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards Unsupervised Deformable-Instances Image-to-Image Translation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Tracklet Proposal Network for Multi-Object Tracking on Point Clouds |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Transforming Robotic Plans with Timed Automata to Solve Temporal Platform Constraints |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Two Forms of Responsibility in Strategic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Two Influence Maximization Games on Graphs Made Temporal |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Two-Sided Matching Meets Fair Division |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Two-Sided Wasserstein Procrustes Analysis |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Two-Stage Facility Location Games with Strategic Clients and Facilities |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Two-stage Training for Learning from Label Proportions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Type-WA*: Using Exploration in Bounded Suboptimal Planning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| UIBert: Learning Generic Multimodal Representations for UI Understanding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| UNBERT: User-News Matching BERT for News Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Uncertainty-Aware Few-Shot Image Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Uncertainty-aware Binary Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Understanding Structural Vulnerability in Graph Convolutional Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Understanding the Effect of Bias in Deep Anomaly Detection |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Unsupervised Hashing with Contrastive Information Bottleneck |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Unsupervised Path Representation Learning with Curriculum Negative Sampling |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
5 |
| Unsupervised Progressive Learning and the STAM Architecture |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Updating the Belief Promotion Operator |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| User Retention: A Causal Approach with Triple Task Modeling |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
2 |
| User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Variational Model-based Policy Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Verifying Reinforcement Learning up to Infinity |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Video Summarization via Label Distributions Dual-Reward |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Vitality Indices are Equivalent to Induced Game-Theoretic Centralities |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| What Changed? Interpretable Model Comparison |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
2 |
| What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Winner Determination and Strategic Control in Conditional Approval Voting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Winner Robustness via Swap- and Shift-Bribery: Parameterized Counting Complexity and Experiments |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| You Get What You Sow: High Fidelity Image Synthesis with a Single Pretrained Network |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |