socialfoundations / benchbench

Related projects ⓘ

Alternatives and complementary repositories for benchbench

• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆90Updated last year
• google-research / OOD-failures
  ☆24Updated 3 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated last year
• MadryLab / datamodels
  ☆22Updated last year
• google-research / understanding-curricula
  ☆34Updated 3 months ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆29Updated last year
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆15Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆105Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆47Updated last year
• izmailovpavel / spurious_feature_learning
  ☆41Updated last year
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• noranta4 / ASIF
  Personal implementation of ASIF by Antonio Norelli
  ☆24Updated 5 months ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆40Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆53Updated last year
• google-research / jax-influence
  ☆58Updated 2 years ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆34Updated last year
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆45Updated last year
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• MadryLab / pretraining-distribution-shift-robustness
  ☆13Updated 8 months ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆40Updated last year
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆67Updated 6 months ago
• js-d / sim_metric
  ☆35Updated last year
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆44Updated 4 months ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 3 years ago
• harshays / inputgradients
  Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)
  ☆13Updated last year
• pratyushmaini / ssft
  [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting
  ☆14Updated last year
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆20Updated last year