chihkuanyeh / Representer_Point_SelectionLinks
code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018
☆67Updated 3 years ago
Alternatives and similar repositories for Representer_Point_Selection
Users that are interested in Representer_Point_Selection are comparing it to the libraries listed below
Sorting:
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆181Updated 5 years ago
- ☆134Updated 5 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- Python codes for influential instance estimation☆56Updated 2 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆54Updated last month
- ☆125Updated 4 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 4 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 7 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆31Updated 5 years ago
- ☆51Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆88Updated 5 years ago
- ☆62Updated 3 years ago
- ☆50Updated 2 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆222Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- ☆111Updated 2 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆81Updated 10 months ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆185Updated last year
- Interpretation of Neural Network is Fragile☆36Updated last year
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆344Updated 5 years ago