EdisonLeeeee / ICLR2022-OpenReviewData

Related projects ⓘ

Alternatives and complementary repositories for ICLR2022-OpenReviewData

• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 2 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆67Updated 3 years ago
• chingyaoc / RINCE
  CVPR 2022, Robust Contrastive Learning against Noisy Views
  ☆82Updated 2 years ago
• AnTuo1998 / AE-KD
  ☆26Updated 3 years ago
• VITA-Group / Nasty-Teacher
  [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…
  ☆81Updated 2 years ago
• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆32Updated 5 years ago
• makezur / VIB_pytorch
  an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)
  ☆33Updated 6 years ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆56Updated 3 years ago
• ssnl / moco_align_uniform
  MoCo with Alignment and Uniformity Loss.
  ☆62Updated 2 years ago
• thuml / Batch-Spectral-Shrinkage
  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  ☆24Updated 2 years ago
• yanyanSann / Long-Tailed-Classification-Leaderboard
  ☆29Updated 3 years ago
• RyanWangZf / PAC-Bayes-IB
  Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
  ☆46Updated 2 years ago
• VITA-Group / MAK
  [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…
  ☆28Updated 2 years ago
• FengHZ / mixupfamily
  The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN datas…
  ☆42Updated 2 years ago
• bhanML / label-noise-papers
  An update-to-date list for papers related with label-noise representation learning is here.
  ☆88Updated 3 years ago
• chenpf1025 / SLN
  ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise
  ☆14Updated 3 years ago
• AlanChou / Super-Loss
  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
  ☆31Updated 3 years ago
• wutong16 / Adversarial_Long-Tail
  [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"
  ☆100Updated 3 years ago
• WuYichen-97 / Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector
  [AAAI 21] Utilizing meta-learning to correct the noisy labels.
  ☆13Updated 3 years ago
• VITA-Group / Adversarial-Contrastive-Learning
  [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
  ☆113Updated 2 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• weigq / neurips2021_stats
  ☆35Updated 2 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆40Updated 4 years ago
• chenpf1025 / IDN
  AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
  ☆35Updated 3 years ago
• Kennethborup / centered_kernel_alignment
  Implementation of Centered Kernel Alignment (CKA)
  ☆11Updated 3 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆104Updated 2 years ago
• m-Just / OoD-Bench
  ☆42Updated last year
• microsoft / MLC
  Meta Label Correction for Noisy Label Learning
  ☆81Updated 2 years ago
• a5507203 / dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning
  ☆12Updated last year
• hbzju / PiCO
  PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984
  ☆208Updated 9 months ago