Alternatives and similar repositories for asa

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

• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆67Updated 4 years ago
• Johswald / learning_where_to_learn
  ☆40Updated 10 months ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆13Updated 3 years ago
• RenkunNi / MetaAug
  ☆28Updated 4 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 3 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆77Updated 4 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago
• oleksost / LMC
  Codebase for the paper titled "Continual learning with local module selection"
  ☆25Updated 3 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆109Updated 2 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• JuliousHurtado / meta-training-setup
  This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.
  ☆12Updated 3 years ago
• erosenfeld / disagree_discrep
  Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.
  ☆10Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆51Updated 2 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• JmlrOrg / jmlr-coverletter
  JMLR Cover Letter Template
  ☆10Updated 3 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 3 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆44Updated 3 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆27Updated 4 years ago
• grasp-lyrl / modelzoo_continual
  Model Zoos for Continual Learning (ICLR 22)
  ☆45Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆72Updated 5 years ago
• hastings24 / rethinking_er
  Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
  ☆50Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 6 years ago
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆58Updated 3 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆64Updated 5 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated 2 years ago