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S. Hwang

10 papers hereh-index 589 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.LG4
  • cs.RO1
same name
  • S. Hwang — 32 papers, h 7
  • S. Hwang — 26 papers, h 19
  • S. Hwang — 16 papers, h 13
  • S. Hwang — 15 papers, h 3
  • S. Hwang — 7 papers, h 21
  • S. Hwang — 7 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedCombating Label Distribution Shift for Active Domain Adaptation

3 citations · 4 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

New Model, Old Habits: Behavior Transfer under Model Swapping in Multi-Session LLM Agents

Youngbin Choi, Sehyun Hwang, Suhyeon Jun +4

Multi-session agents can switch between LLMs to balance performance and inference cost. Such switches require transferring a history for continuity, yet their effects on the recipi…

cs.LG2026

Interaction-Aware Influence Functions for Group Attribution

Jaeseung Heo, Kyeongheung Yun, Youngbin Choi +3

Influence functions approximate how removing a training example changes a quantity of interest, called the target function, such as a held-out loss. To estimate the influence of a…

cs.LG2025

Enhancing Cost Efficiency in Active Learning with Candidate Set Query

Yeho Gwon, Sehyun Hwang, Hoyoung Kim +2

This paper introduces a cost-efficient active learning (AL) framework for classification, featuring a novel query design called candidate set query. Unlike traditional AL queries r…

cs.LG2022★ 3 cited

Combating Label Distribution Shift for Active Domain Adaptation

Sehyun Hwang, Sohyun Lee, Sungyeon Kim +2

We consider the problem of active domain adaptation (ADA) to unlabeled target data, of which subset is actively selected and labeled given a budget constraint. Inspired by recent a…

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