Alternatives and similar repositories for IIB

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

• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆77Updated 3 years ago
• Luoyadan / BGNN-AAAI
  official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)
  ☆63Updated 5 years ago
• huaxiuyao / GFL
  GFL for AAAI 2020
  ☆31Updated 5 years ago
• Wang-ML-Lab / GRDA
  [ICLR 2022] Graph-Relational Domain Adaptation
  ☆45Updated last year
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆136Updated 5 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆47Updated 2 years ago
• palm-ml / valen
  Instance-Dependent Partial Label Learning（NIPS'21）；Variational Label Enhancement for Instance-Dependent Partial Label Learning（TPAMI）
  ☆27Updated 8 months ago
• JunwenBai / MPVAE
  MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
  ☆32Updated last year
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆58Updated 4 years ago
• bhanML / label-noise-papers
  An update-to-date list for papers related with label-noise representation learning is here.
  ☆91Updated 4 years ago
• chenpf1025 / IDN
  AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
  ☆35Updated 4 years ago
• microsoft / MLC
  Meta Label Correction for Noisy Label Learning
  ☆87Updated 3 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆51Updated 4 years ago
• joshr17 / HCL
  ICLR 2021, Contrastive Learning with Hard Negative Samples
  ☆279Updated 4 years ago
• yue-zhongqi / ifsl
  [NeurIPS 2020] Released code for Interventional Few-Shot Learning
  ☆170Updated 4 years ago
• liyiying / Feature_Critic
  Feature-Critic Networks for Heterogeneous Domain Generalisation
  ☆55Updated 6 years ago
• chauhanjatin10 / GraphsFewShot
  Few Shot Learning on Graphs
  ☆33Updated 2 years ago
• ahujak / IB-IRM
  ☆31Updated 4 years ago
• wubotong / LaCIM
  ☆24Updated 4 years ago
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 3 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆65Updated 3 years ago
• DMIRLAB-Group / DSR
  The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)
  ☆20Updated 6 years ago
• LiqunChen0606 / Graph-Optimal-Transport
  Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"
  ☆161Updated 5 years ago
• huaxiuyao / MetaMix
  MetaMix for ICML 2021
  ☆27Updated 4 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.
  ☆62Updated 4 years ago
• GuyHacohen / curriculum_learning
  Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…
  ☆119Updated 5 years ago
• Luodian / Learning-Invariant-Representations-and-Risks
  Pytorch code release of CVPR 21 Paper: Learning Invariant Representations and Risks
  ☆31Updated 4 years ago
• lvjiaqi77 / PRODEN
  Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
  ☆52Updated 5 years ago
• huaxiuyao / ATS
  ATS for NeurIPS 2021
  ☆23Updated 4 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