RyanWangZf / Influence_SubsamplingLinks
Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
☆64Updated 4 years ago
Alternatives and similar repositories for Influence_Subsampling
Users that are interested in Influence_Subsampling are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated 2 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated 2 years ago
- ☆31Updated 4 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆91Updated last year
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆76Updated 3 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆23Updated 5 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆44Updated last year
- Curriculum Learning related papers and materials☆53Updated 5 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆115Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021☆40Updated 4 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago
- ☆50Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆17Updated 5 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- ☆26Updated 5 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73Updated last year
- ☆14Updated 6 years ago
- Meta Label Correction for Noisy Label Learning☆87Updated 3 years ago
- ☆12Updated 4 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"☆17Updated 2 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago