Alternatives and similar repositories for saliency_guided_training

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

• ahujak / IB-IRM
  ☆31Updated 3 years ago
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• GDPlumb / ExpO
  Explanation Optimization
  ☆13Updated 4 years ago
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆40Updated last month
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 4 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• wzhouad / Contra-OOD
  Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021
  ☆40Updated 3 years ago
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 4 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 3 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆17Updated last year
• xtinkt / editable
  A supplementary code for Editable Neural Networks, an ICLR 2020 submission.
  ☆46Updated 5 years ago
• TongtongFANG / DIW
  Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".
  ☆30Updated 4 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆49Updated 2 years ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆57Updated last year
• fmu2 / gradfeat20
  Gradients as Features for Deep Representation Learning
  ☆43Updated 5 years ago
• m-Just / OoD-Bench
  ☆44Updated 2 months ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 2 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 5 years ago
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 3 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆56Updated 3 years ago
• wangwllu / provably_robust_metric_learning
  A metric learning method to learn a provably robust Mahalanobis distance
  ☆10Updated 3 years ago
• amiratag / neuronshapley
  Code for "Neuron Shapley: Discovering the Responsible Neurons"
  ☆26Updated last year
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated 11 months ago