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Name: Jongwoo Ko
Type: User
Company: Ph.D Candidate at KAIST AI | Intended Research Intern at Microsoft | Ex-Intern at Amazon AGI
Location: Seoul, Korea
Name: Jongwoo Ko
Type: User
Company: Ph.D Candidate at KAIST AI | Intended Research Intern at Microsoft | Ex-Intern at Amazon AGI
Location: Seoul, Korea
Code for the paper "A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise" (AAAI 2023)
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A curated list of prompt-based paper in computer vision and vision-language learning.
About Code for the paper "Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective" (EACL 2023 Findings)
Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)
Ko, Jongwoo, and Heeyoung Kim. "Deep Gaussian Process Models for Integrating Multifidelity Experiments with Non-stationary Relationships." IISE Transactions just-accepted (2021): 1-28.
Code for the paper "Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks" (EMNLP 2022)
About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)
Unofficial Pytorch implementation of MiniLM and MiniLMv2
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