Alternatives and similar repositories for IFM:

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

• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆30Updated 2 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 3 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆48Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 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 3 years ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated last year
• mlfoundations / clip_quality_not_quantity
  ☆29Updated 2 years ago
• MLforHealth / S2SD
  (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…
  ☆42Updated 4 years ago
• Optimization-AI / SogCLR
  Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Perform…
  ☆20Updated 2 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 2 years ago
• boschresearch / rince
  This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Po…
  ☆25Updated 2 years ago
• ahujak / IB-IRM
  ☆30Updated 3 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
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• google-research / OOD-failures
  ☆24Updated 4 years ago
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated last year
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• mshukor / EvALign-ICL
  [ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context …
  ☆22Updated last year
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆33Updated last year
• google-research / head2toe
  ☆81Updated 9 months ago
• abarbu / objectnet-template-pytorch
  baseline mode for the ObjectNet competition
  ☆17Updated 4 years ago
• facebookresearch / directclr
  Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.
  ☆77Updated 2 years ago
• HazyResearch / correct-n-contrast
  Official code repository for Correct-N-Contrast
  ☆22Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year