NeurIPS
머신러닝 · 학회 · 논문 785편 · 연구실 143곳
연도별 논문
전체 · 논문 785편
2026285편
- 유영재SNU
A Matched-Budget Audit Framework for Recaptioned Image-Text Supervision Distributions
Giyeong Oh, Junghun Park, Yuhan Bae, Youngjae Yu
- 신진우KAIST
A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
Jeonghoon Kim, Woojin Chung, Woomin Song, Cheonbok Park, Nako Sung, Jinwoo Shin
- 박찬영KAIST
A Structured LLM Framework for Inorganic Material Synthesis Planning
Heewoong Noh, Gyoung S. Na, Namkyeong Lee, Chanyoung Park
- 안성수KAIST
A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
Hyosoon Jang, Hyunjin Seo, Honghui Kim, Taewon Kim, Yunhui Jang, Seonghyun Park, Sungsoo Ahn
- 노승문Yonsei
A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse
Moongyu Jeon, Sangwoo Shin, Bumjun Kim, Kyelim Lee, Albert No
- 예종철KAIST
Accelerated Image Editing via Consistency-Aware Source Token Pruning
Jeongsol Kim, Jong Chul Ye, Yufei Wang, Jian Wang
- 예종철KAIST
Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
Taesung Kwon, Jonghyun Park, Hyungjin Chung, Jong Chul Ye
- 최종현SNU
Action Chunking Proximal Policy Optimization with Feedback Correction
Sanghyun Hahn, Jonghyun Choi
- 양인순SNU
AdaptFlow: State-achored modulation with flow matching for offline goal-conditioned RL
Jaesuk Joo, and Insoon Yang
- 성영철KAIST
Addressing exogeneous variability in cooperative multi-agent reinforcement learning
Seongmin Kim, Woohyeon Byeon, Jiwon Jeon, Seungyul Han, and Youngchul Sung
- 곽노준SNU
Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization
Yun Kim, Nojun Kwak
- 오성회SNU
AEGIS: Almost Surely Safe Offline Reinforcement Learning
Junseo Lee, Hyeokjin Kwon, and Songhwai Oh
- 이병준KU
AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL
Woosung Kim, Youngjun Suh, Jinho Lee, Jongmin Lee, Byung-Jun Lee
- 이종민Yonsei
AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL
Woosung Kim, Youngjun Suh, Jinho Lee, Jongmin Lee, Byung-Jun Lee
- 황성주KAIST
Agent Explorative Policy Optimization for Multimodal Agentic Reasoning
Minki Kang, Shizhe Diao, Ryo Hachiuma, Sung Ju Hwang, Pavlo Molchanov, Yu-Chiang Frank Wang, Byung-Kwan Lee
- 김현우KAIST
AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems
Jaewon Chu, Jinwoo Seo, Jaewon Cho, Jeehye Na, Yunyang Xiong, Youngdae Kim, Hyunwoo J. Kim
- 성영철KAIST
AGiR: Mitigating gift over-reliance in mixed motive games
Woohyeon Byeon, Seongmin Kim, Jiwon Jeon, Woojun Kim, and Youngchul Sung
- 예종철KAIST
Aligning Few-Step Generative Model via Amortizing Sample-Based Variational Inference
Jaewoo Lee, Hyeongyu Kang, Dohyun Kim, Kyuil Sim, Woocheol Shin, Minsu Kim, Taeyoung Yun, Jeongjae Lee, Sanghyeok Choi, Tabitha Edith Lee, Jong Chul Ye, Jinkyoo Park
- 윤철희KAIST
AMUSE: Anytime Muon with Stable Gradient Evaluation
Jueun Kim, Baekrok Shin, Jihun Yun, Beomhan Baek, Minhak Song, Chulhee Yun
- 김동우, 옥정슬, 박상돈, 박은혁POSTECH
Analyzing Learning-Dynamics Across Loss and Prediction Choices for Diffusion Models
Dongwoo Kim
- 황지영KAIST
Ask KG Agent: A Multi-Agent Framework for Code Localization Using Code and Knowledge Graphs
C. Chung, J. Kim, and J. J. Whang*
- 안성수KAIST
Atom-level Protein Representation Learning Improves Protein Structure Prediction
Taewon Kim, Hyosoon Jang, Hyunjin Seo, Seonghwan Seo, Hyeongwoo Kim, Wonho Zhung, Mingyeong Shin, Woo Youn Kim, Sungsoo Ahn
- 신진우KAIST
AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction
Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim, Seungsu Kim, Sungsoo Ahn
- 안성수KAIST
AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction
Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim, Seongsu Kim, Sungsoo Ahn
- 박노성KAIST
Attention Sinks as Spectral Spikes: A Mechanism Analysis of Gated Attention
Seojin Kim, Yehjin Shin, and Noseong Park
- 김재형Yonsei
Auditing the Judge: Human-Grounded Bias Discovery, Quantification, and Mitigation in LLM Judges
Hamin Koo, Chanjoo Jung, Fangzhao Wu, Jaehyung Kim
- 박찬영KAIST
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
Sungho Park, Wonjoong Kim, Rongyuan Tan, Jue Zhang, Wook-Shin Han, Pengfei Gao, Chanyoung Park, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
- 한욱신POSTECH
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
Park, S., Kim, W., Tan, R., Zhang, J., Han, W., Gao, P., Park, C., Lin, Q., Rajmohan, S., Zhang, D.
- 안성진KAIST
BabyTheorist: A Benchmark for Learning to Theorize the World from Observation Alone
Doojin Baek, Junyeob Baek, Mingyu Jo, Hosung Lee, Taegu Kang, Gyubin Lee, Sungjin Ahn
- 윤세영KAIST
BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting
Soowon Oh, Nam Cao, Yujin Kim, Hojung Jung, Huzama Ahmad, Sangmin Bae^, Se-Young Yun^
- 김준모KAIST
Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs
Youngwoo Shin, Yusung Ro, Minseo Kim, and Junmo Kim
- 오혜연KAIST
Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub
Eunsu Kim*, Haneul Yoo*, Guijin Son, Hitesh Patel, Amit Agarwal, Alice Oh
- 문일철KAIST
Best-of-$N$ Guidance for Test-time Diffusion Alignment
Richard Lee Kim, Yeongmin Kim, Gyuwon Sim, Taekyu Kim, Minsang Park, and Il-Chul Moon
- 김승룡KAIST
Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching
Junwan Kim, Jiho Park, Seonghu Jeon, Seungryong Kim
- 김희영KAIST
Beyond Average Flatness: Domain-wise Flatness for Domain Generalization
S. Choi and H. Kim
- 손지용Yonsei
Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes
J. Park, S. Ryu, J. Sohn, J. Moon
- 김현우KAIST
Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG
Dong-Hee Kim, Seonwoo Choi, Changbeen Kim, Jungmyung Wi, Juyeon Ko, Youngju Choi, Il Hyeon Mun, Hyunwoo J. Kim, Donghyun Kim
- 김동현KU
Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG
Dong-Hee Kim, Seonwoo Choi, Changbeen Kim, Jungmyung Wi, Juyeon Ko, Youngju Choi, Il Hyeon Mun, Hyunwoo J. Kim, Donghyun Kim
- 오민환SNU
Bilinear Matching Bandits
Wooseong Cho, Min-hwan Oh
- 오민환SNU
Block Optimism for Nonstationary Bandits with Latent Linear Dynamics
Taehyun Hwang, Hyunjun Choi, Heesang Ann, Min-hwan Oh