머신러닝, 저널
Neural Networks 논문을 낸 국내 연구실
T2Neural Networks. 2023년 이후 논문 41편, 연구실 24곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 MCML이종석 교수 | 연세대 | 9 | 41 | 15 | |
 Programming Languages Lab이원열 교수모집 안내 | POSTECH | 3 | 10 | – | |
 RAIN Lab주창희 교수모집 안내 | 고려대 | 1 | 19 | 3 | |
 Robot Learning Lab최성준 교수 | 고려대 | 16 | 35 | 4 |
최근 논문
- Auction-guided model diffusion for communication-efficient federated learning on non-IID data
2026, Computer Graphics Lab
- Conjunctive query embedding-based few-shot item recommendation
2026, LearnData laboratory
- DAG-NAS : An explainable neural architecture search framework for reinforcement learning
2026, RAIN Lab
- HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency
2026, 의료인공지능
- Leveraging contextual confidence for smarter retrieval in large language models
2026, 패턴인식 및 머신러닝 연구실
- Negative prompt-guided optimization: Enhancing soft prompt generalization in vision-language models
2026, 패턴인식 및 머신러닝 연구실
- Reinforcement learning via conservative agent for environments with random delays
2026, Computational Control Engineering Lab (CoCEL)
- AmbiBias Contrast: Enhancing debiasing networks via disentangled space from ambiguity-bias clusters
2025, 패턴인식 및 머신러닝 연구실
- Corrigendum to "Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning" [Neural Networks Volume 178, October (2024), 1-11/106414]]
2025, 홍영준 연구실, V-Lab
- Exploration and exploitation in continual learning
2025, 서승호 연구실
- FairDRO: Group fairness regularization via classwise robust optimization
2025, 기계지능 및 데이터사이언스 연구실
- FPANet: Frequency-based video demoiréing using frame-level post alignment
2025, Computer Vision Lab (CVLAB), 윤상호 연구실
- HiddenSinger: High-quality singing voice synthesis via neural audio codec and latent diffusion models
2025, 패턴인식 및 머신러닝 연구실
- Improving forward compatibility in class incremental learning by increasing representation rank and feature richness
2025, 이원종 연구실
- MTCM: Multi-context temporal consistent modeling for referring video object segmentation
2025, 패턴인식 및 머신러닝 연구실
- Quantum federated learning with pole-angle quantum local training and trainable measurement
2025, Korea Univ., AI and Mobility (AIM) Lab
- Sample-efficient and occlusion-robust reinforcement learning for robotic manipulation via multimodal fusion dualization and representation normalization
2025, 미래도시로봇 연구실
- Semantic prioritization in visual counterfactual explanations with weighted segmentation and auto-adaptive region selection
2025, 패턴인식 및 머신러닝 연구실
- Towards a better evaluation of out-of-domain generalization
2025, 이원종 연구실
- Adaptive ambiguity-aware weighting for multi-label recognition with limited annotations
2024, 패턴인식 및 머신러닝 연구실