Alternatives and similar repositories for nlp-uncertainty-zoo

Users that are interested in nlp-uncertainty-zoo are comparing it to the libraries listed below

• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆89Updated 2 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
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆24Updated 9 months ago
• s-nlp / certain-transformer
  How certain is your transformer?
  ☆25Updated 4 years ago
• xiaoyuxin1002 / UQ-PLM
  Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis
  ☆15Updated 3 years ago
• Varal7 / conformal-language-modeling
  Conformal Language Modeling
  ☆32Updated 2 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• FranxYao / PoincareProbe
  Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces
  ☆58Updated 4 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• WSNLP / uncertainty_transformers
  ☆35Updated 3 years ago
• ritaranx / NeST
  [AAAI 2023] This is the code for our paper `Neighborhood-Regularized Self-Training for Learning with Few Labels'.
  ☆12Updated 2 years ago
• google-research / jax-influence
  ☆63Updated 3 years ago
• kimjeyoung / SNGP-BERT-Pytorch
  This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…
  ☆52Updated 4 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆105Updated 2 years ago
• gucci-j / light-transformer-emnlp2021
  EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
  ☆34Updated 4 years ago
• frankaging / Causal-Distill
  The Codebase for Causal Distillation for Language Models (NAACL '22)
  ☆26Updated 3 years ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆99Updated 4 years ago
• da03 / Residual-EBM
  Code for Residual Energy-Based Models for Text Generation in PyTorch.
  ☆25Updated 4 years ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆40Updated last year
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆56Updated 5 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆57Updated 2 years ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• allenai / mice
  ☆26Updated 3 years ago
• INK-USC / DIG
  Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)
  ☆28Updated 3 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆49Updated 2 years ago
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 4 years ago
• qkaren / COLD_decoding
  ☆113Updated 3 years ago
• JonathanCrabbe / Simplex
  This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …
  ☆25Updated 2 years ago
• gorokoba560 / norm-analysis-of-transformer
  ☆87Updated last year