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@VILA-Lab

VILA-Lab: Vision and Language Acceleration Lab

Vision/Language, learning and acceleration group

Pinned

  1. ATLAS ATLAS Public

    A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

    Python 697 66

  2. SRe2L SRe2L Public

    (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

    Python 88 11

Repositories

Showing 4 of 4 repositories
  • SRe2L Public

    (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

    Python 88 11 2 0 Updated Apr 25, 2024
  • GBLM-Pruner Public

    Are gradient information useful for pruning of LLMs?

    Python 26 MIT 4 0 0 Updated Apr 22, 2024
  • i-mae Public

    i-mae Pytorch Repo

    Python 17 3 0 0 Updated Apr 6, 2024
  • ATLAS Public

    A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

    Python 697 Apache-2.0 66 2 0 Updated Mar 30, 2024

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