yeachan-kr / pytorch-coteachingLinks
Pytorch implementations of Co-teaching for noisy label learning
☆13Updated 3 years ago
Alternatives and similar repositories for pytorch-coteaching
Users that are interested in pytorch-coteaching are comparing it to the libraries listed below
Sorting:
- ☆110Updated 2 years ago
- Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021☆40Updated 4 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆18Updated 3 years ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆37Updated last year
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Updated 3 years ago
- Code for ACL 2021 paper "Unsupervised Out-of-Domain Detection via Pre-trained Transformers"☆30Updated 4 years ago
- ☆157Updated 4 years ago
- ☆25Updated last year
- Meta Label Correction for Noisy Label Learning☆87Updated 3 years ago
- Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".☆87Updated 3 years ago
- ☆17Updated 3 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆42Updated 4 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆105Updated 3 years ago
- Codes for the paper: "Continual Learning for Text Classification with Information Disentanglement Based Regularization"☆44Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- ICLR 2022☆18Updated 3 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 3 years ago
- This package implements THOR: Transformer with Stochastic Experts.☆65Updated 4 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Updated 3 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Updated 4 years ago
- Uncertainty-aware Self-training☆122Updated 2 years ago
- ☆19Updated 4 years ago
- [Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter☆12Updated 2 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training i…☆17Updated last year
- Crawl & visualize ICLR papers and reviews.☆18Updated 3 years ago
- Official code repository for Correct-N-Contrast☆23Updated 3 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 5 years ago