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)
  ☆101Updated 3 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆30Updated 5 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆59Updated 4 years ago
• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 4 years ago
• shikhartuli / cnn_txf_bias
  [CogSci'21] Study of human inductive biases in CNNs and Transformers.
  ☆43Updated 4 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
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆41Updated 4 years ago
• zzzace2000 / FIDO-saliency
  Explaining Image Classifiers by Counterfactual Generation
  ☆28Updated 3 years ago
• alextamkin / dabs
  A Domain-Agnostic Benchmark for Self-Supervised Learning
  ☆107Updated 2 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆60Updated 4 years ago
• qilimk / biggan-am
  BigGAN-AM improves the sample diversity of BigGAN and synthesizes Places365 images.
  ☆20Updated 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
• wbw520 / scouter
  SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)
  ☆98Updated 2 years ago
• laura-rieger / deep-explanation-penalization
  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…
  ☆128Updated 4 years ago
• MECLabTUDA / Super_Selfish
  Unified Pytorch framework for image-based self-supervised learning
  ☆93Updated 4 years ago
• minyoungg / overparam
  ☆42Updated 2 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 5 years ago
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆83Updated 3 years ago
• clovaai / rebias
  Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
  ☆175Updated last year
• yaohungt / Barlow-Twins-HSIC
  ☆57Updated 3 years ago
• MadryLab / backgrounds_challenge
  ☆142Updated 5 years ago
• henrikmarklund / arm
  ☆83Updated 2 years ago
• DarthSid95 / RumiGANs
  Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."
  ☆32Updated 4 years ago
• bethgelab / slow_disentanglement
  Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
  ☆73Updated 4 years ago
• ml-research / NeSyXIL
  ☆34Updated 4 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆30Updated 7 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 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
• google / n-digit-mnist
  ☆46Updated 6 years ago