Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
Bidirectional Convolutional Poisson Gamma Dynamical Systems
Authors: wenchao chen, Chaojie Wang, Bo Chen, Yicheng Liu, Hao Zhang, Mingyuan Zhou
NeurIPS 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results on a variety of document corpora demonstrate that the proposed models can extract expressive multi-level latent representations, including interpretable phrase-level topics and sentence-level temporal transitions as well as discriminative document-level features, achieving state-of-the-art document categorization performance while being memory and computation efficient. |
| Researcher Affiliation | Academia | Wenchao Chen , Chaojie Wang , Bo Chen , Yicheng Liu, Hao Zhang National Laboratory of Radar Signal Processing Xidian University, Xi an, Shaanxi 710071, China EMAIL, EMAIL, EMAIL, EMAIL, EMAIL Mingyuan Zhou Mc Combs School of Business The University of Texas at Austin Austin, TX 78712, USA EMAIL |
| Pseudocode | No | The paper describes mathematical formulations and generative processes but does not include explicit pseudocode blocks or algorithms labeled as such. |
| Open Source Code | Yes | Python (Py Torch) code is provided at https://github.com/Bo Chen Group/BCPGDS. |
| Open Datasets | Yes | We evaluate the effectiveness of our model on five large corpora, including ELEC, IMDB-2, Reuters, Yelp 2014, and IMDB-10, which are described in detail in the Appendix. |
| Dataset Splits | Yes | We evaluate our model with different amount of labeled data (5%, 10%, 25%, or 50%), besides the whole training set being unlabeled data. |
| Hardware Specification | Yes | Table 3: Comparison of testing times (seconds) with batch-size 128 on two RTX 2080 Ti GPUs. |
| Software Dependencies | No | The paper mentions "Python (Py Torch) code is provided" but does not specify version numbers for Python, PyTorch, or other relevant libraries. |
| Experiment Setup | Yes | We fix the hyperparameters of our models as τ0 = 1, ϵ0 = 0.1, γ0 = 0.1, η = 0.05 for all experiments. |