Alternatives and similar repositories for Gradient_Starvation

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

• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆86Updated 3 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• Faruk-Ahmed / predictive_group_invariance
  ☆34Updated 4 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 3 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆39Updated 4 years ago
• js-d / sim_metric
  ☆35Updated last year
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• bneyshabur / generalization-bounds
  Computing various measures and generalization bounds on convolutional and fully connected networks
  ☆35Updated 6 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• SaynaEbrahimi / Remembering-for-the-Right-Reasons
  Official Implementation of Remembering for the Right Reasons (ICLR 2021)
  ☆30Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• google-research / understanding-curricula
  ☆34Updated this week
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆60Updated 4 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• chandar-lab / IIRC
  IIRC: Incremental Implicitly Refined Classification
  ☆30Updated 2 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆88Updated 5 years ago
• Johswald / learning_where_to_learn
  ☆38Updated 7 months ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• ssagawa / overparam_spur_corr
  An Investigation of Why Overparameterization Exacerbates Spurious Correlations
  ☆31Updated 4 years ago
• samuelstanton / gnosis
  Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.
  ☆33Updated last year
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 3 years ago
• AlexMeinke / certified-certain-uncertainty
  A way to achieve uniform confidence far away from the training data.
  ☆38Updated 4 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆82Updated 3 years ago