🧿

Publications Details

Default view

Publications: Conference and Journal

Title

Conference and Journal

Author

Keyword

Specification

Link

Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction

Open

Arxiv

Technical Report

1st author

Precipitation Nowcasting

Benchmark Dataset

Under Review

https://arxiv.org/abs/2206.15241

Supernet Training for Federated Image Classification under System Heterogeneity

Open

ICML2022

Workshop

1st author

Federated Learning

AutoML

Image Classification

Architecture Search

International

Top-tier

Oral

Under Review

https://arxiv.org/abs/2206.01366

Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search

Open

ICML2022

Workshop

1st author

Architecture Search

Bayesian Optimization

Knowledge Distillation

Orthogonality Regularization

International

Top-tier

Under Review

https://arxiv.org/abs/2206.13130

Revisiting the Activation Function for Federated Image Classification

Open

NeurIPS2022

Workshop

Co-author

Federated Learning

International

Top-tier

https://openreview.net/forum?id=KGvSg8D5-fY

Revisiting Kernel Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification

Open

IEEE Access

1st author

Orthogonality Regularization

International

Journal

https://ieeexplore.ieee.org/document/9804718

Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces

Open

Arxiv

Co-author

Hyperparameter Optimization

Graph Neural Network

Working In Progress

https://arxiv.org/abs/2202.00893

Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits.

Open

Arxiv

Technical Report

1st author

Federated Learning

Hyperparameter Optimization

Technical Report

https://arxiv.org/abs/2012.03270https://arxiv.org/abs/2012.03270

FINE Samples for Learning with Noisy Labels

Open

NeurIPS2021

1st author

Noisy Label Classification

Image Classification

SVD

International

Top-tier

https://openreview.net/forum?id=QZpx42n0BWr

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation

Open

IJCAI2021

1st author

Knowledge Distillation

Noisy Label Classification

Image Classification

International

Top-tier

https://www.ijcai.org/proceedings/2021/0362.pdf

Adaptive Local Bayesian Optimization Over Multiple Discrete Variables

Open

NeurIPS2020

Competition

1st author

AutoML

Hyperparameter Optimization

Bayesian Optimization

Multi-armed Bandit

International

8th rank

https://arxiv.org/abs/2012.03501

Efficient Model for Image Classification With Regularization Tricks

Open

NeurIPS2019

Competition

1st author

Orthogonality Regularization

Architecture Search

Augmentation

Model Compression

Image Classification

International

Top-tier

2nd rank

http://proceedings.mlr.press/v123/kim20a

Orthogonal feature regularization : a novel approach for training robust models, Korea Advanced Institute of Science and Technology

Open

Master Thesis

KAIST

1st author

Adversarial Attack

Orthogonality Regularization

Image Classification

Thesis

FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels

Open

TMLR

1st author

Federated Learning

Noisy Label Classification

A Unified Framework for Speculative Decoding with Multiple Drafters as a Bandit

Open

NeurIPS2024

Workshop

1st author

Speculative Decoding

Large Language Model

Block Transformer: Global-to-Local Language Modeling for Fast Inference

Open

NeurIPS2024

Co-author

Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters

Open

EMNLP2024

1st author

Speculative Decoding

Large Language Model

Exploring and Improving Drafts in Blockwise Parallel Decoding

Open

NeurIPS2024

1st author

Large Language Model

Speculative Decoding

Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning

Open

AAAI2024

Co-author

Few-Shot

Cross-Domain

Top-tier

A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search

Open

Arxiv

Technical Report

Co-author

Architecture Search

AutoML

https://arxiv.org/abs/2204.03916

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts

Open

NeurIPS2022

Competition

Co-author

Precipitation Nowcasting

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=wDEaSpwAAAAJ&citation_for_view=wDEaSpwAAAAJ:4DMP91E08xMC

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

Open

ICLR2024

Spotlight

NeurIPS2023

Workshop

1st author

Instruction Following

Large Language Model

Top-tier

https://openreview.net/forum?id=IqJ3CU3flr&referrer=[Author Console](%2Fgroup%3Fid%3DNeurIPS.cc%2F2023%2FWorkshop%2FInstruction%2FAuthors%23your-submissions)

Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection

Open

NeurIPS2023

1st author

Semi-Supervised Learning

Federated Learning

Object Detection

Top-tier

Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition

Open

NeurIPS2022

Competition

1st author

Precipitation Nowcasting

Segmentation

International

Top-tier

4th rank

https://arxiv.org/abs/2212.02059

Layover Intermediate Layer for Multi-Label Classification in Efficient Transfer Learning

Open

NeurIPS2022

Workshop

Co-author

Multi-Label Classification

Efficient

Transfer Learning

International

Top-tier

https://openreview.net/forum?id=mbOHmKLxBH