BAI-Yeqi / Statistical-Properties-of-Dot-Product

Related projects ⓘ

Alternatives and complementary repositories for Statistical-Properties-of-Dot-Product

• hyp1231 / ICLR2023-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆18Updated 2 years ago
• EdisonLeeeee / ICLR2022-OpenReviewData
  ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference
  ☆85Updated 2 years ago
• RunxinXu / ContrastivePruning
  Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》
  ☆23Updated 2 years ago
• lancopku / DynamicKD
  Code for EMNLP 2021 main conference paper "Dynamic Knowledge Distillation for Pre-trained Language Models"
  ☆40Updated 2 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆61Updated 3 years ago
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆36Updated 5 months ago
• orionw / Multilingual-Federated-Learning
  Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022
  ☆10Updated 2 years ago
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆79Updated last year
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆28Updated last month
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆55Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆44Updated last year
• bojone / tiger
  A Tight-fisted Optimizer
  ☆47Updated last year
• Spico197 / watchmen
  😎 A simple and easy-to-use toolkit for GPU scheduling.
  ☆42Updated 3 years ago
• Hunter-DDM / stablemoe
  Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"
  ☆42Updated 2 years ago
• Nebularaid2000 / bottleneck
  PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022)
  ☆37Updated 3 weeks ago
• LorrinWWW / SkipBERT
  Code associated with the paper **SkipBERT: Efficient Inference with Shallow Layer Skipping**, at ACL 2022
  ☆15Updated 2 years ago
• Noahs-ARK / RFA
  ☆32Updated 3 years ago
• anshuman23 / InfDataSel
  Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…
  ☆22Updated 6 months ago
• thunlp / MixADA
  ☆19Updated 3 years ago
• fastnlp / ElasticBERT
  A pre-trained model with multi-exit transformer architecture.
  ☆53Updated last year
• yikangshen / MoA
  Mixture of Attention Heads
  ☆39Updated 2 years ago
• DRSY / EMO
  [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
  ☆114Updated 8 months ago
• QingruZhang / PLATON
  This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
  ☆41Updated 2 years ago
• ZhuiyiTechnology / GAU-alpha
  基于Gated Attention Unit的Transformer模型（尝鲜版）
  ☆97Updated last year
• mlpc-ucsd / BERT_Convolutions
  (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.
  ☆21Updated 2 years ago
• twinkle0331 / Xcompression
  [ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)
  ☆19Updated last year
• thunlp / NeuBA
  ☆23Updated 3 years ago
• cliang1453 / task-aware-distillation
  Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)
  ☆29Updated last year
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆15Updated 5 months ago