mtoneva / example_forgetting
☆172Updated last month
Related projects: ⓘ
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆280Updated 2 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆117Updated last year
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 5 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆178Updated 4 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆351Updated 5 years ago
- Meta-Learning based Noise-Tolerant Training☆122Updated 4 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆64Updated 2 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆112Updated 2 years ago
- ☆129Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆98Updated 3 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆137Updated 4 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆219Updated 4 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆168Updated 2 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆89Updated 3 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆136Updated 4 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- A PyTorch converter for SimCLR checkpoints☆105Updated 3 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆105Updated 2 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆202Updated 5 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆108Updated last year
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆103Updated 3 years ago
- ☆150Updated 4 years ago
- Code for Continual Learning of Context-dependent Processing in Neural Networks☆176Updated 3 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆135Updated 4 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆96Updated 11 months ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆123Updated 4 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆97Updated 4 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆82Updated 5 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆114Updated 4 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆221Updated 4 years ago