Alternatives and similar repositories for classwise_rationale

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

• atticusg / MultiplyQuantifiedData
  ☆10Updated 5 years ago
• deep-spin / lp-sparsemap
  LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs
  ☆41Updated last year
• dmelis / robust_interpret
  Tools for robustness evaluation in interpretability methods
  ☆10Updated 4 years ago
• john-hewitt / dyckkm-learning
  Codebase implementing LMs for learning the Dyck-(k,m) bounded hierarchical language
  ☆15Updated 5 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 3 years ago
• uclnlp / ctp
  Conditional Theorem Proving
  ☆53Updated 4 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆49Updated 2 years ago
• mtsang / archipelago
  Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…
  ☆40Updated 2 years ago
• feng-yufei / Neural-Natural-Logic
  Implementation of the first neural natural logic paper on natural language inference
  ☆11Updated 2 years ago
• UCLA-StarAI / Semantic-Loss
  Semantic Loss code
  ☆61Updated 6 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 2 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year
• JonathanCrabbe / Symbolic-Pursuit
  Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"
  ☆15Updated 3 years ago
• timvieira / hypergraphs
  Reference implementations of basic and advanced hypergraph algorithms.
  ☆49Updated last year
• MLforHealth / CausalDA
  Causal data augmentation for pretraining debiasing
  ☆11Updated 4 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆104Updated 5 years ago
• facebookresearch / clutrr
  Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language
  ☆96Updated last year
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 4 years ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• YujiaBao / Predict-then-Interpolate
  "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021
  ☆18Updated 4 years ago
• carolinlawrence / gradient-rollback
  Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…
  ☆21Updated 4 years ago
• peterbhase / ExplanationSearch
  Code for paper "Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals"
  ☆18Updated 2 years ago
• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆42Updated 3 years ago
• dallascard / DWAC
  Deep Weighted Averaging Classifiers
  ☆23Updated 6 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆85Updated 4 years ago
• jayelm / compexp
  Compositional Explanations of Neurons, NeurIPS 2020 https://arxiv.org/abs/2006.14032
  ☆25Updated 4 years ago
• ml-research / NeSyXIL
  ☆34Updated 4 years ago
• art-ai / pypsdd
  The Python PSDD Package
  ☆19Updated 2 months ago
• uclnlp / ntp
  End-to-End Differentiable Proving
  ☆90Updated 6 years ago
• xkianteb / leaqi
  Active Imitation Learing with Noisy Guidance
  ☆10Updated 5 years ago