ICLR 논문을 낸 국내 연구실
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생성 모델·디퓨전경량화·효율 AI고려대 인호 교수
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추천·검색대규모 언어 모델
최근 논문
- RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
2026, System Intelligence Lab
- SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety
2026, AI Cognition Optimization with Reinforcement & Exploration (AI-CORE) Lab. 지능 최적화 및 강화학습 연구실
- SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions
2026, AUTONOMOUS CONTROL FOR STOCHASTIC SYSTEMS
- SafeMoE: Safe Fine-Tuning for MoE LLMs by Aligning Harmful Input Routing
2026, 네트워크 및 시스템 보안 연구실, 웹 보안 및 개인정보 보호 연구실
- SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning
2026, 기계학습 및 의사결정 연구실
- Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
2026, 소프트웨어 분석 연구실
- Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?
2026, 윤철희 연구실
- Secondary Motion-Aware 3D Clothed Gaussian Avatars from Monocular Videos
2026, Visual & General Intelligence Lab (시각 및 범용 지능 연구실)
- Secure Inference for Diffusion Models via Unconditional Scores
2026, 양은호 연구실
- SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
2026, 차지욱 연구실, 기계지능 및 데이터사이언스 연구실
- Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning
2026, Machine Learning & Intelligent Control Lab. 기계학습 및 지능형제어 연구실
- SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
2026, 오성준 연구실
- Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment
2026, 문일철 연구실, Autonomous Systems and Decision-making Lab. 자율 시스템 및 의사결정 연구실
- Semi-Supervised Preference Optimization with Limited Feedback
2026, MLAI
- SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization
2026, Algorithm, Circuits, Architecture (ACA) Lab
- Shift-and-Sum Quantization for Visual Autoregressive Models
2026, Computer Vision Lab
- SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
2026, COCO Lab
- SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents
2026, 조요한 연구실
- Soft Equivariance Regularization for Invariant Self-Supervised Learning
2026, 이주호 연구실
- SpareTrain: Fault-Tolerant LLM Training via Low-Cost Dual Modular Redundancy
2026, 아키텍처 및 코드 최적화 연구실