tianyizhou / DoCLLinks
Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
☆19Updated 4 years ago
Alternatives and similar repositories for DoCL
Users that are interested in DoCL are comparing it to the libraries listed below
Sorting:
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 6 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆43Updated 5 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆17Updated 4 years ago
- ☆42Updated 4 years ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Updated 4 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 4 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated 2 years ago
- ☆58Updated 4 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- ☆21Updated 5 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- Official repo for Directional Self-supervised Learning for Heavy Image Augmentations [CVPR2022]☆12Updated 3 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆25Updated 3 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 2 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆37Updated 2 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- ☆28Updated 3 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆24Updated 4 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- ☆20Updated 2 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated last year