sndnyang / JEMPP
PyTorch implementation of JEM++: Improved Techniques for Training JEM
☆13Updated last year
Related projects: ⓘ
- ☆49Updated 3 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆116Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆39Updated 10 months ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆34Updated last year
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- ☆27Updated 3 years ago
- ☆29Updated 2 years ago
- Repository for conditional transport☆14Updated 2 years ago
- ☆102Updated 11 months ago
- ☆34Updated 3 years ago
- ☆18Updated 2 years ago
- ☆34Updated last month
- Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.☆15Updated 3 years ago
- Invariant-feature Subspace Recovery (ISR)☆22Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 4 years ago
- ☆19Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆42Updated last year
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 3 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆43Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated last year
- ☆35Updated 3 years ago
- NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection"☆19Updated 5 months ago
- ☆38Updated last year
- baseline mode for the ObjectNet competition☆17Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆36Updated 3 years ago