머신러닝, 학회
NeurIPS 논문을 낸 국내 연구실
탑티어Neural Information Processing Systems. 2023년 이후 논문 502편, 연구실 200곳
이 학회에 논문을 낸 연구실
UNIST 유재준 교수
탑티어 19전체 26구성원 –
생성 모델·디퓨전비디오 이해
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 Data Systems Lab한욱신 교수 | POSTECH | 18 | 26 | 24 | |
 EffL (Efficient Learning)이재호 교수 | POSTECH | 19 | 26 | 14 | |
 Engineering Data Science Lab김희영 교수 | KAIST | 9 | 25 | 2 | |
 생성형 지능시스템 연구실 (Generative Intelligence Lab)박성우 교수 | 고려대 | 9 | 29 | 3 | |
 Generative Intelligence Lab. 생성지능연구실최진영 교수신생 랩 | UNIST | 4 | 4 | 2 | |
 IDEA Lab김용대 교수 | 서울대 | 17 | 22 | 16 | |
 INA Research Group한동수 교수모집 안내 | KAIST | 7 | 24 | 33 | |
 KAIST 김현정 교수 연구실김현정 교수 | KAIST | 3 | 27 | 10 | |
 Laboratory of Advanced Imaging Technology ( LAIT ). 컴퓨터 비전 및 바이오 영상신호처리 연구실유재준 교수 | UNIST | 19 | 26 | – | |
 Large-Scale System Platform Lab전명재 교수 | POSTECH | 11 | 13 | – | |
 Learning and Adaptation Algorithms Lab김태섭 교수모집 안내 | 서울대 | 23 | 26 | 26 | |
 Multisensory Intelligence LabArda Senocak 교수신생 랩 | UNIST | 17 | 21 | – | |
 PDE&AI Lab권도현 교수신생 랩모집 안내 | 연세대 | 6 | 10 | 10 | |
 Photonic Intelligence Lab. 광지능 연구실최민호 교수신생 랩모집 안내 | UNIST | 1 | 1 | 5 | |
 Programming Languages Lab박성우 교수 | POSTECH | 9 | 29 | 10 | |
 Robot Learning Lab최성준 교수 | 고려대 | 16 | 35 | 4 | |
 SLP Lab.(Speech and Language Processing Lab)김찬우 교수 | 고려대 | 18 | 39 | 19 | |
 Smart sound systems최정우 교수 | KAIST | 3 | 3 | 15 | |
 SNU Robot Vision Lab임종우 교수 | 서울대 | 7 | 12 | 18 | |
 Visual Information Processing Lab. 시각정보처리 연구실심재영 교수 | UNIST | 7 | 15 | – |
최근 논문
- VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory
2025, 시각인공지능
- VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
2025, Inference and Information for Data Science Lab
- Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
2025, 기계학습 및 비전 연구실
- VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking
2025, 인간 중심 컴퓨터 시스템 연구실
- VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
2025, KAIST Visual Intelligence Lab
- Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
2025, 언어 및 범용인공지능
- Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
2025, LICS · Lab for Informatics, Communications, and Systems, 김승룡 연구실
- Ψ-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
2025, KAIST Visual AI Group
- 3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
2024, Computer Vision Lab
- 4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
2024, SNU Robot Vision Lab, 컴퓨터비젼 연구실
- A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
2024, KAIST Visual Intelligence Lab
- A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
2024, 이원종 연구실
- ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
2024, Computer Vision Lab, Computer Vision Lab, Computer Vision Lab
- Activating Self-Attention for Multi-Scene Absolute Pose Regression
2024, 비주얼컴퓨팅 Lab
- Adaptive Experimentation When You Can't Experiment
2024, Interactive Machine Learning Lab
- Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
2024, 스마트 정보 시스템 연구실
- Adversarial Environment Design via Regret-Guided Diffusion Models
2024, 로봇학습 연구실
- Aligning to Thousands of Preferences via System Message Generalization
2024, 서민준 연구실
- An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
2024, 윤세영 연구실
- ANT: Adaptive Noise Schedule for Time Series Diffusion Models
2024, Machine Learning Lab