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Ph.D Candidate at KAIST AI | Research Intern at Microsoft | Ex-Intern at Amazon AGI
- Seoul, Korea
- https://sites.google.com/view/jongwooko
- in/jongwooko
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raymin0223/fast_robust_early_exit
raymin0223/fast_robust_early_exit PublicFast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)
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Kthyeon/FINE_official
Kthyeon/FINE_official PublicNeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
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Pytorch-MiniLM
Pytorch-MiniLM PublicUnofficial Pytorch implementation of MiniLM and MiniLMv2
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NASH-Pruning-Official
NASH-Pruning-Official PublicAbout Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)
Python 11
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microsoft/only_train_once
microsoft/only_train_once PublicOTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
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