Alternatives and similar repositories for ICLR2021-OpenReviewData

Users that are interested in ICLR2021-OpenReviewData are comparing it to the libraries listed below

• shaohua0116 / ICLR2020-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆462Updated 6 years ago
• jensen888 / Meta-Learning-Papers
  A classified list of meta learning papers based on realm.
  ☆364Updated 3 years ago
• kashif / ICLR2022-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆107Updated 3 years ago
• Mehooz / awesome-representation-learning
  The newest reading list for representation learning
  ☆117Updated 4 years ago
• VainF / Awesome-Contrastive-Learning
  Awesome Contrastive Learning for CV & NLP
  ☆165Updated 4 years ago
• dragen1860 / Reptile-Pytorch
  ☆157Updated 6 years ago
• ssnl / align_uniform
  Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…
  ☆460Updated 3 years ago
• prprbr / awesome-lifelong-continual-learning
  A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
  ☆294Updated 4 years ago
• ContrastiveSR / Contrastive_Learning_Papers
  A list of contrastive Learning papers
  ☆307Updated 3 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆291Updated 4 years ago
• tianheyu927 / PCGrad
  Code for "Gradient Surgery for Multi-Task Learning"
  ☆342Updated 5 years ago
• AdrienLE / ANIML
  Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
  ☆191Updated 6 years ago
• mtoneva / example_forgetting
  ☆178Updated last year
• danieltan07 / learning-to-reweight-examples
  PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
  ☆354Updated 6 years ago
• DuaneNielsen / DeepInfomaxPytorch
  Learning deep representations by mutual information estimation and maximization
  ☆322Updated 7 years ago
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆460Updated 2 years ago
• facebookresearch / InvariantRiskMinimization
  PyTorch code to run synthetic experiments.
  ☆432Updated 4 years ago
• dragen1860 / awesome-meta-learning
  A curated list of Meta-Learning resources/papers.
  ☆553Updated 5 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆101Updated 5 years ago
• wangzheng17 / awesome-causal-vision
  A curated list of research papers in exploring causality in vision. Link to the code if available is also present.
  ☆238Updated 5 years ago
• tristandeleu / pytorch-maml
  An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
  ☆241Updated 5 years ago
• rdevon / DIM
  Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
  ☆809Updated 6 years ago
• chingyaoc / DCL
  NeurIPS 2020, Debiased Contrastive Learning
  ☆285Updated 2 years ago
• audreycs / Accepted-Papers-Lists
  Accepted Journal/Conference Paper Lists
  ☆149Updated 3 years ago
• weigq / iclr2022_stats
  ☆46Updated 3 years ago
• familyld / Awesome-Best-Papers
  Collect awesome best papers from top AI conferences.
  ☆480Updated 3 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆210Updated 7 years ago
• Openning07 / awesome-curriculum-learning
  some bravo or inspiring research works on the topic of curriculum learning
  ☆246Updated 3 years ago
• bhanML / Co-teaching
  NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
  ☆519Updated 4 years ago
• twistedcubic / attention-rank-collapse
  [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.
  ☆170Updated 4 years ago