Alternatives and similar repositories for vqa-outliers

Users that are interested in vqa-outliers are comparing it to the libraries listed below

• PluviophileYU / CVC-QA
  Code for "Counterfactual Variable Control for Robust and Interpretable Question Answering"
  ☆14Updated 4 years ago
• qcwthu / Lifelong-Fewshot-Language-Learning
  The code for lifelong few-shot language learning
  ☆55Updated 3 years ago
• McGill-NLP / polytropon
  ☆53Updated 2 years ago
• nng555 / ssmba
  ☆63Updated 3 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆39Updated 4 years ago
• UKPLab / acl2020-confidence-regularization
  ☆24Updated last year
• chrisc36 / debias
  Methods of training NLP models to ignored biased strategies
  ☆55Updated last year
• intersun / CoDIR
  Code for EMNLP 2020 paper CoDIR
  ☆41Updated 2 years ago
• iedwardwangi / MetaAdapter
  ☆22Updated 4 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆59Updated last year
• zinengtang / VidLanKD
  Pytorch version of VidLanKD: Improving Language Understanding viaVideo-Distilled Knowledge Transfer (NeurIPS 2021))
  ☆56Updated 2 years ago
• allenai / faithful-nmn
  Evaluating and improving the faithfulness of the interpretations offered by Neural Module Networks
  ☆13Updated last year
• e-bug / iglue
  [ICML 2022] Code and data for our paper "IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages"
  ☆49Updated 2 years ago
• yoonkim / neural-qcfg
  ☆45Updated 3 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• SALT-NLP / Adaptive-Compositional-Modules
  Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"
  ☆38Updated 3 years ago
• UKPLab / emnlp2020-debiasing-unknown
  ☆26Updated 4 years ago
• jacobandreas / geca
  ☆42Updated 4 years ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• Noahs-ARK / MAE
  ☆21Updated 5 years ago
• lifu-tu / ENGINE
  ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
  ☆25Updated 4 years ago
• easonnie / ChaosNLI
  [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data
  ☆36Updated 3 years ago
• woojeongjin / FewVLM
  A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models (ACL 2022)
  ☆41Updated 3 years ago
• XiangLi1999 / syntactic-VIB
  Implementation of the paper: Specializing pretrained word embeddings (for parsing) by IB
  ☆52Updated 2 years ago
• VegB / iNLG
  Implementation of "Visualize Before You Write: Imagination-Guided Open-Ended Text Generation".
  ☆17Updated 2 years ago
• AI-secure / InfoBERT
  [ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Y…
  ☆85Updated last year
• fallcat / stupidNMT
  Hard-Coded Gaussian Attention for Neural Machine Translation
  ☆36Updated last year
• Victorwz / VaLM
  VaLM: Visually-augmented Language Modeling. ICLR 2023.
  ☆56Updated 2 years ago
• galsang / trees_from_transformers
  Official code for the ICLR 2020 paper 'ARE PPE-TRAINED LANGUAGE MODELS AWARE OF PHRASES? SIMPLE BUT STRONG BASELINES FOR GRAMMAR INDCUTIO…
  ☆30Updated last year