garygsw / smooth-taylor
PyTorch implementation of SmoothTaylor
☆15Updated 3 years ago
Alternatives and similar repositories for smooth-taylor:
Users that are interested in smooth-taylor are comparing it to the libraries listed below
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆96Updated 2 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 2 years ago
- ☆39Updated 3 years ago
- ☆95Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 10 months ago
- ☆34Updated 3 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆40Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆43Updated 3 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆38Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆22Updated 4 years ago
- BigGAN-AM improves the sample diversity of BigGAN and synthesizes Places365 images.☆20Updated last year
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆22Updated 2 years ago
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- ☆41Updated last year
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- ☆34Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆19Updated 4 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆34Updated last year
- Information Bottlenecks for Attribution☆77Updated 2 years ago
- [ICLR'21] Counterfactual Generative Networks☆107Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago