Alternatives and similar repositories for VAE-TracIn-pytorch

Users that are interested in VAE-TracIn-pytorch are comparing it to the libraries listed below

• huaxiuyao / LISA
  LISA for ICML 2022
  ☆51Updated 2 years ago
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated 2 years ago
• RenkunNi / MetaAug
  ☆28Updated 3 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago
• nv-research-israel / causal_comp
  This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …
  ☆27Updated 4 years ago
• ZixuanKe / CAT
  Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
  ☆21Updated 2 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• google-research / head2toe
  ☆81Updated last year
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• tmllab / 2021_NeurIPS_PES
  ☆30Updated 2 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆61Updated last year
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• google-research / understanding-curricula
  ☆34Updated 3 months ago
• CogComp / TAWT
  Weighted Training for Cross-Task Learning
  ☆15Updated 2 years ago
• jhaochenz96 / spectral_contrastive_learning
  ☆22Updated 3 years ago
• Liuhong99 / Imbalanced-SSL
  Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
  ☆39Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 5 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆57Updated 3 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆44Updated 2 years ago
• joshr17 / IFM
  Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
  ☆47Updated 3 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 3 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago