Alternatives and similar repositories for learning_where_to_learn:

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

• pclucas14 / AML
  ☆25Updated 3 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆96Updated 2 years ago
• oleksost / LMC
  Codebase for the paper titled "Continual learning with local module selection"
  ☆25Updated 3 years ago
• arslan-chaudhry / orthog_subspace
  Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)
  ☆36Updated 4 years ago
• Mattdl / RehearsalRevealed
  Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
  ☆27Updated 3 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆119Updated 3 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆76Updated 4 years ago
• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆93Updated 2 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆65Updated 4 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated last year
• sahagobinda / GPM
  Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"
  ☆89Updated 3 years ago
• rahafaljundi / Gradient-based-Sample-Selection
  ☆72Updated 2 years ago
• INK-USC / GMED
  Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020
  ☆17Updated 2 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
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆70Updated 10 months ago
• mominabbass / Sharp-MAML
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  ☆30Updated 2 years ago
• danruod / FS-DGPM
  Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
  ☆16Updated 3 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
• optimass / Maximally_Interfered_Retrieval
  Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
  ☆100Updated 2 years ago
• sangwon-jung94 / AGS-CL
  ☆19Updated 4 years ago
• HJ-Yoo / BOIL
  ☆14Updated 4 years ago
• jaehong31 / APD
  "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020
  ☆22Updated 2 years ago
• RenkunNi / MetaAug
  ☆28Updated 3 years ago
• ZixuanKe / CAT
  Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
  ☆21Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆55Updated 2 years ago
• LYang-666 / TRGP
  [ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"
  ☆21Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆108Updated last year
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆85Updated 2 years ago
• JuliousHurtado / meta-training-setup
  This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.
  ☆11Updated 3 years ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆90Updated 4 years ago