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Papers for Summer 2018
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- Zero-Shot Knowledge Distillation in Deep Networks☆67Updated 3 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Updated 8 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆110Updated 5 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆133Updated 7 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆129Updated 6 years ago
- FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)☆69Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- a list of recent papers on transfer learning☆24Updated 8 years ago
- ☆61Updated 2 years ago
- ☆37Updated 5 years ago
- Supervised NN for pre-training. with group normalization and weight standardization☆30Updated 5 years ago
- A collection of methods to fool the deep neural network☆76Updated last year
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆32Updated 6 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆95Updated 2 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated last year
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆225Updated 5 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆67Updated 4 years ago
- Guide for both TensorFlow and PyTorch in comparative way☆108Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 5 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Weekly reading group on Graphs at Mila☆31Updated 6 years ago
- ☆100Updated 5 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆144Updated 5 years ago
- Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)☆58Updated 7 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 6 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 6 years ago
- Implementation of Pre-text invariant representation learning algorithm in pytorch☆11Updated 5 years ago
- ☆353Updated 5 years ago