lancopku / well-classified-examples-are-underestimatedLinks
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
☆54Updated 3 years ago
Alternatives and similar repositories for well-classified-examples-are-underestimated
Users that are interested in well-classified-examples-are-underestimated are comparing it to the libraries listed below
Sorting:
- Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".☆87Updated 3 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆90Updated 4 years ago
- Code for EMNLP 2022 paper “Distilled Dual-Encoder Model for Vision-Language Understanding”☆31Updated 2 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆226Updated last year
- [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)☆128Updated last year
- ☆73Updated 3 years ago
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆117Updated 4 years ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆63Updated 3 years ago
- Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》☆62Updated 4 years ago
- Advances of few-shot learning, especially for NLP applications.☆32Updated 3 years ago
- A curated list of awesome Mix☆72Updated 3 years ago
- ☆38Updated last year
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆24Updated last year
- ☆28Updated last year
- The official implementation of the paper **Learning Concise and Descriptive Attributes for Visual Recognition**☆48Updated 2 years ago
- ☆163Updated 6 months ago
- Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained…☆211Updated 2 years ago
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated 2 years ago
- ☆157Updated 4 years ago
- ☆118Updated 2 years ago
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆279Updated 4 years ago
- ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference☆85Updated 3 years ago
- ☆67Updated last year
- Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021☆40Updated 4 years ago
- This repo contains codes and instructions for baselines in the VLUE benchmark.☆41Updated 3 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Updated 3 years ago
- Source code of NeurIPS 2022 accepted paper "AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning"☆23Updated 3 years ago
- Meta Label Correction for Noisy Label Learning☆87Updated 3 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆91Updated 4 years ago