Coling2022-DePro / DeProLinks
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
☆11Updated 3 years ago
Alternatives and similar repositories for DePro
Users that are interested in DePro are comparing it to the libraries listed below
Sorting:
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Updated 2 years ago
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆61Updated 5 years ago
- This is a repo of Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.☆18Updated 3 years ago
- ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse☆49Updated 2 years ago
- ☆18Updated 3 years ago
- DDG: This repo contains the code for our IJCAI 2022 paper: Dynamic Domain Generalization.☆37Updated 3 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Updated 4 years ago
- An official implementation of ECCV 2022 paper "Attention Diversification for Domain Generalization".☆42Updated 3 years ago
- ☆27Updated 5 years ago
- ☆118Updated 2 years ago
- Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.☆49Updated 3 years ago
- ☆38Updated last year
- [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"☆103Updated 4 years ago
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆44Updated 3 years ago
- This resposity maintains a collection of important papers on knowledge distillation (awesome-knowledge-distillation)).☆82Updated 10 months ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 4 years ago
- This is the official repository for the ICLR 2023 paper Causal Balancing for Domain Generalization☆12Updated 2 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆42Updated 4 years ago
- ☆38Updated 3 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆66Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆41Updated 4 years ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆15Updated last year
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆52Updated 5 years ago
- ☆28Updated 4 years ago
- ☆14Updated 3 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆100Updated last year
- Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction☆24Updated 3 years ago
- ☆11Updated 2 years ago
- ☆29Updated 4 years ago