jhoon-oh / kd_dataLinks
IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
☆41Updated 2 years ago
Alternatives and similar repositories for kd_data
Users that are interested in kd_data are comparing it to the libraries listed below
Sorting:
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Code for Active Mixup in 2020 CVPR☆23Updated 3 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 3 years ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Updated 4 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- ☆57Updated 3 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆81Updated 3 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 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
- Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".☆16Updated 3 years ago
- ☆30Updated last month
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆28Updated 2 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 4 years ago
- ☆28Updated 3 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 3 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- ☆24Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Updated 4 years ago
- ☆27Updated 4 years ago
- ☆46Updated 2 years ago
- Class Incremental learning, Task Incremental Learning☆17Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆40Updated last year