Alternatives and similar repositories for bottleneck

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

• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆57Updated 2 years ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆68Updated last year
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆61Updated last year
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆45Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆61Updated 2 years ago
• zzp1012 / LLFC
  [NeurIPS 2023] Code release for "Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity"
  ☆19Updated last year
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• hrtan / MoSo
  ☆10Updated last year
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 2 years ago
• sjunhongshen / ORCA
  Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"
  ☆72Updated last year
• zhangq327 / ARC
  Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
  ☆28Updated 3 years ago
• anshuman23 / InfDataSel
  Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…
  ☆23Updated last year
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago
• mlvlab / TokenMixup
  Official pytorch implementation of NeurIPS 2022 paper, TokenMixup
  ☆48Updated 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
• jhaochenz96 / spectral_contrastive_learning
  ☆22Updated 3 years ago
• m-Just / OoD-Bench
  ☆44Updated 5 months ago
• chingyaoc / RINCE
  CVPR 2022, Robust Contrastive Learning against Noisy Views
  ☆84Updated 3 years ago
• hongxin001 / logitnorm_ood
  Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization
  ☆152Updated 3 years ago
• RyanWangZf / PAC-Bayes-IB
  Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
  ☆49Updated 3 years ago
• Out-of-Distribution-Generalization / Out-of-Distribution-Generalization.github.io
  ☆26Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆51Updated 2 years ago
• sanagno / neurips_2022_statistics
  ☆17Updated 2 years ago
• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆63Updated 2 years ago
• Wuyxin / DISC
  (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation
  ☆41Updated last year
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆73Updated last year
• Wang-ML-Lab / bayesian-peft
  [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
  ☆28Updated last month
• WonderSeven / LSSAE
  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
  ☆24Updated last year