lmz123321 / which_invariance

Related projects: ⓘ

• AMLab-Amsterdam / DataAugmentationInterventions
  ☆27Updated 3 years ago
• TjuJianyu / RFC
  ☆11Updated last year
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆27Updated last year
• CausalTriplet / causaltriplet
  [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
  ☆29Updated last year
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated last month
• piotr-teterwak / erm_plusplus
  ☆15Updated 2 months ago
• thudzj / NEigenmaps
  ☆11Updated 6 months ago
• mrojascarulla / causal_transfer_learning
  ☆30Updated 6 years ago
• ZidiXiu / ECRT
  Supercharging Imbalanced Data Learning WithCausal Representation Transfer
  ☆11Updated 2 years ago
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated 7 months ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆34Updated last year
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 2 years ago
• mgong2 / DA_Infer
  Domain Adaptation as a Problem of Inference on Graphical Models
  ☆29Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 2 years ago
• YannDubs / SSL-Risk-Decomposition
  Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".
  ☆13Updated last year
• ahujak / IB-IRM
  ☆29Updated 2 years ago
• a7b23 / H-Divergence
  ☆21Updated 2 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆11Updated 2 years ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆12Updated 4 months ago
• zzzace2000 / robust_cls_model
  The code to reproduce CVPR 2021 paper "Towards Robust Classification Model by Counterfactual and Invariant Data Generation"
  ☆15Updated 3 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 3 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆24Updated 2 years ago
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆12Updated 2 years ago
• Jiacheng-Zhu-AIML / FOT
  Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data
  ☆24Updated 3 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆22Updated last year
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated 4 months ago
• stanislavfort / adversaries_to_OOD_detection
  ☆12Updated last year
• nv-research-israel / causal_comp
  This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …
  ☆27Updated 3 years ago
• HazyResearch / correct-n-contrast
  Official code repository for Correct-N-Contrast
  ☆21Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆40Updated last year