kohpangwei / influence-release
☆770Updated 3 years ago
Related projects: ⓘ
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆314Updated 10 months ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆593Updated 2 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆704Updated 4 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆425Updated 7 years ago
- A curated list of research papers related to learning disentangled representations☆462Updated 5 years ago
- ☆903Updated last year
- ☆623Updated 2 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆886Updated 4 months ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,375Updated 3 years ago
- Code for all experiments.☆305Updated 3 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆458Updated 5 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 5 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆905Updated 8 months ago
- A simple way to calibrate your neural network.☆1,081Updated 3 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆334Updated 2 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,581Updated 2 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆727Updated 4 years ago
- A Toolbox for Adversarial Robustness Research☆1,291Updated last year
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆388Updated 4 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆282Updated 5 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆794Updated 2 years ago
- Virtual adversarial training with Tensorflow☆251Updated 6 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆880Updated last year
- ☆1,135Updated last year
- Stochastic Weight Averaging in PyTorch☆959Updated 3 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆950Updated 6 months ago
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆446Updated 6 years ago
- Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet☆604Updated last year
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆800Updated 5 years ago
- PyTorch code to run synthetic experiments.☆407Updated 3 years ago