Alternatives and similar repositories for CanITrustTheExplainer

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

• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 4 years ago
• wiseodd / lula
  Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).
  ☆20Updated 4 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 3 years ago
• dizam92 / pyTorchReg
  Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
  ☆38Updated 3 years ago
• zackchase / label_shift
  A simple algorithm to identify and correct for label shift.
  ☆22Updated 7 years ago
• HazyResearch / augmentation_code
  Reproducible code for Augmentation paper
  ☆17Updated 6 years ago
• henrikmarklund / arm
  ☆83Updated 2 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 5 years ago
• JanRocketMan / regression-prior-networks
  An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.
  ☆36Updated 5 years ago
• google-research / understanding-transfer-learning
  ☆45Updated 5 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 4 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 4 years ago
• aniketde / DomainGeneralizationMarginal
  ☆15Updated 8 years ago
• IirisSundin / active-learning-for-decision-making
  This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…
  ☆11Updated 6 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 5 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 5 years ago
• davidstutz / cvpr2019-adversarial-robustness
  CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".
  ☆14Updated 6 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆44Updated 3 years ago
• gbup-group / EAN-efficient-attention-network
  The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.
  ☆20Updated 2 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆17Updated 5 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• flaviovdf / label-shift
  ☆32Updated 4 years ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆41Updated 4 years ago
• bamos / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆41Updated 5 years ago
• chaitjo / gated-graph-transformers
  Transformers are Graph Neural Networks!
  ☆54Updated 5 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 5 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 7 years ago