Alternatives and similar repositories for ATS

Users that are interested in ATS are comparing it to the libraries listed below

• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 3 years ago
• huaxiuyao / GFL
  GFL for AAAI 2020
  ☆31Updated 4 years ago
• huaxiuyao / MetaMix
  MetaMix for ICML 2021
  ☆27Updated 4 years ago
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆131Updated 5 years ago
• Wang-ML-Lab / GRDA
  [ICLR 2022] Graph-Relational Domain Adaptation
  ☆45Updated last year
• Luodian / IIB
  ☆17Updated 3 years ago
• PanZiqiAI / disentangled-information-bottleneck
  ☆32Updated 4 years ago
• WonderSeven / LSSAE
  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
  ☆24Updated last year
• Luoyadan / BGNN-AAAI
  official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)
  ☆63Updated 5 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆44Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated last year
• hehaodele / CIDA
  [ICML 2020] Continuously Indexed Domain Adaptation
  ☆119Updated 2 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆44Updated 2 years ago
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 3 years ago
• ynysjtu / ood_bench
  ☆49Updated 2 years ago
• chauhanjatin10 / GraphsFewShot
  Few Shot Learning on Graphs
  ☆33Updated 2 years ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆77Updated 4 years ago
• liyiying / Feature_Critic
  Feature-Critic Networks for Heterogeneous Domain Generalisation
  ☆53Updated 6 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆200Updated 7 years ago
• kakaoenterprise / Learning-Debiased-Disentangled
  Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"
  ☆103Updated 2 years ago
• Ferenas / CAVL
  Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)
  ☆14Updated 3 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.
  ☆61Updated 4 years ago
• lvjiaqi77 / PRODEN
  Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
  ☆52Updated 5 years ago
• VITA-Group / Adversarial-Contrastive-Learning
  [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
  ☆114Updated 3 years ago
• Luodian / Learning-Invariant-Representations-and-Risks
  Pytorch code release of CVPR 21 Paper: Learning Invariant Representations and Risks
  ☆31Updated 4 years ago
• moukamisama / F2M
  ☆35Updated 3 years ago
• palm-ml / valen
  Instance-Dependent Partial Label Learning（NIPS'21）；Variational Label Enhancement for Instance-Dependent Partial Label Learning（TPAMI）
  ☆25Updated 2 months ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago
• jiangmengli / metaug
  ☆18Updated 2 years ago
• m-Just / OoD-Bench
  ☆44Updated 4 months ago