Hyperspherical Prototype Networks
Authors: Pascal Mettes, Elise van der Pol, Cees Snoek
NeurIPS 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimentally, we show the benefit of hyperspherical prototype networks for classification, regression, and their combination over other prototype methods, softmax cross-entropy, and mean squared error approaches. (Abstract) |
| Researcher Affiliation | Academia | Pascal Mettes ISIS Lab University of Amsterdam Elise van der Pol Uv A-Bosch Delta Lab University of Amsterdam Cees G. M. Snoek ISIS Lab University of Amsterdam |
| Pseudocode | No | The paper does not contain any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | Yes | The code and prototypes are available at: https://github.com/psmmettes/hpn. |
| Open Datasets | Yes | CIFAR-100 consists of 60,000 images of size 32x32 from 100 classes. Image Net-200 is a subset of Image Net, consisting of 110,000 images of size 64x64 from 200 classes [18]. ... Omni Art [38]. ... CUB Birds 200-2011 [42]. |
| Dataset Splits | No | The paper specifies test set sizes but does not explicitly mention a separate validation set split or how it was used for training purposes. |
| Hardware Specification | No | The paper does not provide specific hardware details such as GPU or CPU models used for the experiments. |
| Software Dependencies | No | The paper mentions using SGD and standard deep learning components, but does not list specific software dependencies with version numbers (e.g., PyTorch 1.x, Python 3.x). |
| Experiment Setup | Yes | For all our experiments, we use SGD, with a learning rate of 0.01, momentum of 0.9, weight decay of 1e-4, batch size of 128, no gradient clipping, and no pre-training. All networks are trained for 250 epochs, where after 100 and 200 epochs, the learning rate is reduced by one order of magnitude. For data augmentation, we perform random cropping and random horizontal flips. |