Alternatives and similar repositories for Explaining-In-Style-Reproducibility-Study

Users that are interested in Explaining-In-Style-Reproducibility-Study are comparing it to the libraries listed below

• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆102Updated 2 years ago
• evandez / neuron-descriptions
  Natural Language Descriptions of Deep Visual Features, ICLR 2022
  ☆64Updated 2 years ago
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆70Updated 2 years ago
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆42Updated 2 years ago
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆49Updated last year
• hamidkazemi22 / vit-visualization
  ☆189Updated 2 years ago
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆112Updated 2 years ago
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆55Updated last year
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 2 years ago
• ml-jku / cloob
  ☆160Updated 3 years ago
• valentyn1boreiko / DVCEs
  ☆43Updated last year
• facebookresearch / visual-counterfactuals
  Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals
  ☆30Updated 3 years ago
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 8 months ago
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆83Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• hila-chefer / RobustViT
  [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …
  ☆133Updated 3 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• mbaradad / learning_with_noise
  Learning to See by Looking at Noise
  ☆112Updated 11 months ago
• grayhong / self-diagnosing-gan
  Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)
  ☆20Updated 4 years ago
• google / explaining-in-style
  ☆223Updated 4 years ago
• jiamings / d2c
  PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
  ☆125Updated 3 years ago
• B-cos / B-cos-v2
  Official PyTorch implementation of improved B-cos models
  ☆54Updated last month
• MadryLab / EditingClassifiers
  ☆96Updated 3 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 3 years ago
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆91Updated last year
• facebookresearch / disentangling-correlated-factors
  A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Dise…
  ☆75Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆99Updated 2 years ago
• andyzoujm / pixmix
  PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)
  ☆109Updated 3 years ago
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆54Updated last year
• ml-research / Fair-Diffusion
  ☆47Updated 2 years ago