ebennequin / meta-domain-shift

Related projects: ⓘ

• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆38Updated 2 years ago
• yunhuiguo / CVPR-2021-L2ID-Classification-Challenges
  Learning from Limited and Imperfect Data (L2ID): Classification Challenges
  ☆16Updated 3 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆30Updated 3 years ago
• twj-KAIST / OOD-MAML
  ☆12Updated 3 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆26Updated last year
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆40Updated 3 years ago
• amazon-science / few-shot-baseline
  ☆24Updated 3 years ago
• acmi-lab / Open-Set-Label-Shift
  Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift
  ☆31Updated last year
• huang50213 / AIM-Fewshot-Continual
  ☆28Updated 3 years ago
• abdullahjamal / Longtail_DA
  [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
  ☆24Updated 4 years ago
• Liuhong99 / Imbalanced-SSL
  Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
  ☆36Updated 2 years ago
• dvirsamuel / DRAGON
  [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"
  ☆28Updated 3 years ago
• boschresearch / what-matters-for-meta-learning
  [CVPR 2022] What Matters For Meta-Learning Vision Regression Tasks?
  ☆21Updated 2 years ago
• dmizr / phuber
  [Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)
  ☆14Updated 2 weeks ago
• VisionLearningGroup / CDS
  CDS: Cross-Domain Self-supervised Pre-training
  ☆26Updated 2 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 2 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆29Updated 2 years ago
• ErikEnglesson / GJS
  The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…
  ☆21Updated 2 years ago
• Openning07 / reciprocal-normalization-for-DA
  ☆9Updated 2 years ago
• WonderSeven / ULDA
  The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"
  ☆25Updated 2 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 3 years ago
• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 3 years ago
• arjish / PreTrainedFullLibrary_FewShot
  Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"
  ☆27Updated 3 years ago
• ChrisAllenMing / LtC-MSDA
  Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).
  ☆65Updated 2 years ago
• YU1ut / Multi-Task-Curriculum-Framework-for-Open-Set-SSL
  Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"
  ☆23Updated 4 years ago
• PeymanMorteza / GEM
  ☆17Updated 2 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 2 years ago
• sumitramalagi / Unseen-classes-at-a-later-time
  ☆13Updated 2 years ago
• willi-menapace / acids-clustering-domain-shift
  Official Pytorch implementation of ACIDS, ECCV 2020 "Learning to Cluster under Domain Shift"
  ☆15Updated 3 years ago