hhuang-code / VisCNN_ICLR_2014_SaliencyLinks
A PyTorch implementation of the paper "Deep inside convolutional networks: Visualising image classification models and saliency maps"
☆23Updated 7 years ago
Alternatives and similar repositories for VisCNN_ICLR_2014_Saliency
Users that are interested in VisCNN_ICLR_2014_Saliency are comparing it to the libraries listed below
Sorting:
- Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code☆32Updated 4 years ago
- Official PyTorch implementation for ECCV'20 paper: Deep Image Clustering with Category-Style Representation☆16Updated 5 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)☆80Updated 2 years ago
- Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018☆32Updated 6 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Updated 4 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- [CVPR 2020] Code for paper "AdversarialNAS: Adversarial Neural Architecture Search for GANs".☆71Updated last year
- PyTorch Implementation of "Learning to Transfer: Unsupervised Domain Translation via Meta-Learning"☆33Updated 5 years ago
- ☆37Updated 3 years ago
- A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…☆59Updated 7 years ago
- Code for "Cluster Alignment with a Teacher for Unsupervised Domain Adaptation"☆25Updated 5 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 6 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆16Updated 4 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 5 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81Updated 6 years ago
- [CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction☆55Updated 5 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 4 years ago
- AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries☆163Updated 2 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆85Updated last year
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆69Updated 2 years ago
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 3 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Updated 4 years ago