Search Results for author: Dahyun Kim

Found 15 papers, 9 papers with code

sDPO: Don't Use Your Data All at Once

no code implementations28 Mar 2024 Dahyun Kim, Yungi Kim, Wonho Song, Hyeonwoo Kim, Yunsu Kim, Sanghoon Kim, Chanjun Park

As development of large language models (LLM) progresses, aligning them with human preferences has become increasingly important.

Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models

no code implementations28 Mar 2024 Hyunbyung Park, Sukyung Lee, Gyoungjin Gim, Yungi Kim, Dahyun Kim, Chanjun Park

To address the challenges associated with data processing at scale, we propose Dataverse, a unified open-source Extract-Transform-Load (ETL) pipeline for large language models (LLMs) with a user-friendly design at its core.

Model-Based Data-Centric AI: Bridging the Divide Between Academic Ideals and Industrial Pragmatism

no code implementations4 Mar 2024 Chanjun Park, Minsoo Khang, Dahyun Kim

This paper delves into the contrasting roles of data within academic and industrial spheres, highlighting the divergence between Data-Centric AI and Model-Agnostic AI approaches.

HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue

1 code implementation15 Dec 2023 Sunjae Yoon, Dahyun Kim, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chnag D. Yoo

Video-grounded Dialogue (VGD) aims to answer questions regarding a given multi-modal input comprising video, audio, and dialogue history.

Recursive Video Lane Detection

1 code implementation ICCV 2023 Dongkwon Jin, Dahyun Kim, Chang-Su Kim

A novel algorithm to detect road lanes in videos, called recursive video lane detector (RVLD), is proposed in this paper, which propagates the state of a current frame recursively to the next frame.

Lane Detection

Progressive Fourier Neural Representation for Sequential Video Compilation

2 code implementations20 Jun 2023 Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D Yoo

Motivated by continual learning, this work investigates how to accumulate and transfer neural implicit representations for multiple complex video data over sequential encoding sessions.

Continual Learning

Selective Query-guided Debiasing for Video Corpus Moment Retrieval

1 code implementation17 Oct 2022 Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo

Video moment retrieval (VMR) aims to localize target moments in untrimmed videos pertinent to a given textual query.

Moment Retrieval Retrieval +1

Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference

1 code implementation ICLR 2022 Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi

For better practicality, we first propose a novel continual learning setup that is online, task-free, class-incremental, of blurry task boundaries and subject to inference queries at any moment.

Continual Learning Management

Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning

1 code implementation CVPR 2022 Dahyun Kim, Jonghyun Choi

To accelerate deployment of models with the benefit of unsupervised representation learning to such resource limited devices for various downstream tasks, we propose a self-supervised learning method for binary networks that uses a moving target network.

Representation Learning Self-Supervised Learning

BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements

1 code implementation16 Oct 2021 Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi

Questioning that the architectures designed for FP networks might not be the best for binary networks, we propose to search architectures for binary networks (BNAS) by defining a new search space for binary architectures and a novel search objective.

Quantization

Structured Co-reference Graph Attention for Video-grounded Dialogue

no code implementations24 Mar 2021 Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo

A video-grounded dialogue system referred to as the Structured Co-reference Graph Attention (SCGA) is presented for decoding the answer sequence to a question regarding a given video while keeping track of the dialogue context.

Graph Attention

Learning Architectures for Binary Networks

1 code implementation ECCV 2020 Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi

Specifically, based on the cell based search method, we define the new search space of binary layer types, design a new cell template, and rediscover the utility of and propose to use the Zeroise layer instead of using it as a placeholder.

Quantization

Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence

no code implementations3 Feb 2019 Dahyun Kim, Jihwan Bae, Yeonsik Jo, Jonghyun Choi

Incremental learning suffers from two challenging problems; forgetting of old knowledge and intransigence on learning new knowledge.

Incremental Learning Transfer Learning

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