Alternatives and similar repositories for smooth-taylor

Users that are interested in smooth-taylor are comparing it to the libraries listed below

• rgeirhos / shortcut-perspective
  Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
  ☆100Updated 3 years ago
• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 4 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 3 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆30Updated 5 years ago
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆82Updated 2 years ago
• shikhartuli / cnn_txf_bias
  [CogSci'21] Study of human inductive biases in CNNs and Transformers.
  ☆43Updated 4 years ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆41Updated 4 years ago
• mpatacchiola / self-supervised-relational-reasoning
  Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
  ☆143Updated last year
• wbw520 / scouter
  SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)
  ☆98Updated 2 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆57Updated 4 years ago
• MadryLab / EditingClassifiers
  ☆96Updated 2 years ago
• clovaai / rebias
  Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
  ☆174Updated last year
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 3 years ago
• CompVis / invariances
  Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks
  ☆58Updated 4 years ago
• zzzace2000 / FIDO-saliency
  Explaining Image Classifiers by Counterfactual Generation
  ☆28Updated 3 years ago
• SaynaEbrahimi / Remembering-for-the-Right-Reasons
  Official Implementation of Remembering for the Right Reasons (ICLR 2021)
  ☆30Updated 4 years ago
• google / n-digit-mnist
  ☆46Updated 6 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• rahafaljundi / Selfless-Sequential-Learning
  ☆26Updated 5 years ago
• MLforHealth / S2SD
  (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…
  ☆43Updated 5 years ago
• thwjoy / revae-demo
  ☆17Updated 4 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago
• MadryLab / backgrounds_challenge
  ☆141Updated 4 years ago
• bethgelab / slow_disentanglement
  Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
  ☆73Updated 3 years ago
• shaohua0116 / MultiDigitMNIST
  Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
  ☆101Updated 4 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated last year
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆31Updated 3 years ago