facebookresearch / domainbed_measures
Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021
☆17Updated 2 years ago
Related projects: ⓘ
- 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
- [ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context …☆20Updated 6 months ago
- Official adversarial mixup resynthesis repository☆33Updated 4 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆27Updated last year
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 3 years ago
- ☆34Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆34Updated last year
- ☆27Updated 3 years ago
- ☆21Updated 2 years ago
- ☆26Updated 2 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆49Updated 11 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆43Updated last year
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆35Updated last year
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Shaping Visual Representations with Language for Few-shot Classification, ACL 2020☆16Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 5 months ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆33Updated 3 years ago
- ☆21Updated last year
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 4 years ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Updated 4 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆17Updated 4 years ago
- ☆19Updated 3 years ago
- ☆40Updated last year
- Gradients as Features for Deep Representation Learning☆41Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆21Updated 4 years ago