Alternatives and similar repositories for bilevel_coresets:

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

• jfc43 / informative-outlier-mining
  We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…
  ☆57Updated 3 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆121Updated 3 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 2 years ago
• rahafaljundi / Gradient-based-Sample-Selection
  ☆72Updated 2 years ago
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• m-Just / OoD-Bench
  ☆42Updated last week
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated 2 years ago
• rpinsler / active-bayesian-coresets
  ☆40Updated 5 years ago
• pclucas14 / AML
  ☆25Updated 3 years ago
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆56Updated 2 years ago
• Johswald / learning_where_to_learn
  ☆38Updated 5 months ago
• arslan-chaudhry / orthog_subspace
  Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)
  ☆36Updated 4 years ago
• soochan-lee / CN-DPM
  Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
  ☆100Updated 4 years ago
• MehdiAbbanaBennani / continual-learning-ogdplus
  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
  ☆42Updated 2 years ago
• optimass / Maximally_Interfered_Retrieval
  Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
  ☆101Updated 2 years ago
• Angie-Liu / labelshift
  Regularized Learning under label shifts
  ☆18Updated 5 years ago
• yunhuiguo / MEGA
  [NeurIPS 2020, Spotlight] Improved Schemes for Episodic Memory-based Lifelong Learning
  ☆18Updated 4 years ago
• ssagawa / overparam_spur_corr
  An Investigation of Why Overparameterization Exacerbates Spurious Correlations
  ☆30Updated 4 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆86Updated 5 years ago
• bneyshabur / generalization-bounds
  Computing various measures and generalization bounds on convolutional and fully connected networks
  ☆35Updated 6 years ago
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆163Updated 3 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆86Updated 2 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆76Updated 4 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• imirzadeh / stable-continual-learning
  Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
  ☆75Updated 2 years ago