rabeehk / hyperformer

Related projects: ⓘ

• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆96Updated last year
• rabeehk / compacter
  ☆127Updated 2 years ago
• BeyonderXX / TRACE
  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  ☆56Updated 7 months ago
• morningmoni / UniPELT
  Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
  ☆58Updated 2 years ago
• qcwthu / Lifelong-Fewshot-Language-Learning
  The code for lifelong few-shot language learning
  ☆53Updated 2 years ago
• SALT-NLP / Adaptive-Compositional-Modules
  Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"
  ☆38Updated 2 years ago
• Victorwz / VaLM
  VaLM: Visually-augmented Language Modeling. ICLR 2023.
  ☆55Updated last year
• McGill-NLP / polytropon
  ☆49Updated last year
• arazd / ProgressivePrompts
  Progressive Prompts: Continual Learning for Language Models
  ☆87Updated last year
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated 10 months ago
• JetRunner / MetaDistil
  Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".
  ☆80Updated 2 years ago
• e-bug / iglue
  [ICML 2022] Code and data for our paper "IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages"
  ☆49Updated last year
• facebookresearch / MetaICL
  An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
  ☆249Updated last year
• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆134Updated 2 years ago
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆134Updated last year
• Junya-Chen / FlatCLR
  FlatNCE: A Novel Contrastive Representation Learning Objective
  ☆83Updated 2 years ago
• BenfengXu / KNNPrompting
  Released code for our ICLR23 paper.
  ☆62Updated last year
• Alrope123 / rethinking-demonstrations
  ☆164Updated last month
• wutong8023 / PLM4CL
  ICLR 2022
  ☆17Updated 2 years ago
• wzhouad / Contra-OOD
  Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021
  ☆40Updated 2 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆36Updated 3 years ago
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆36Updated last year
• ChicagoHAI / active-example-selection
  Active Example Selection for In-Context Learning (EMNLP'22)
  ☆43Updated last month
• joeljang / negated-prompts-for-llms
  [NeurIPS 2022 Workshop] A Case Study with Negated Prompts using T0 (3B, 11B), InstructGPT (350M-175B), GPT-3 (350M - 175B) & OPT (125M - …
  ☆23Updated last year
• zjunlp / DART
  [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
  ☆127Updated last year
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆174Updated last year
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆105Updated last year
• siddk / vqa-outliers
  Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for …
  ☆56Updated 2 years ago
• guanzhchen / PETuning
  ☆32Updated last year
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆60Updated 2 years ago