AI 전반, 학회
AAAI 논문을 낸 국내 연구실
탑티어AAAI Conference on Artificial Intelligence. 2023년 이후 논문 344편, 연구실 194곳
이 학회에 논문을 낸 연구실
최근 논문
- Confidence-Aware Training of Smoothed Classifiers for Certified Robustness
2023, 신뢰가능한 인공지능 연구실, AGI-LAB, KAIST
- CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer
2023, KAIST AXE Lab, 피지컬 인공지능 연구실
- Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video
2023, IVY Lab & IVL Lab
- Demystifying Randomly Initialized Networks for Evaluating Generative Models
2023, MCML
- Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels
2023, 윤세영 연구실
- Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion
2023, 이원종 연구실
- Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions
2023, Computer Systems & Intelligence Lab
- Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation
2023, Data Intelligence Lab
- Dynamic Structure Pruning for Compressing CNNs
2023, 데이터 인텔리전스
- Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
2023, 언어 기계 학습
- Exploring Temporal Information Dynamics in Spiking Neural Networks
2023, Efficient Machine Intelligence Lab @ Korea University
- FLAME: Free-Form Language-Based Motion Synthesis & Editing
2023, Robot Learning Lab
- FreeEnricher: Enriching Face Landmarks without Additional Cost
2023, Multimedia AI Lab
- Frequency Selective Augmentation for Video Representation Learning
2023, 통계적 추론 및 정보 이론 연구실
- FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract)
2023, Korea Univ., AI and Mobility (AIM) Lab
- GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer
2023, 생체광학 및 나노공학 연구실
- Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
2023, 박찬영 연구실
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
2023, 신기정 연구실
- Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks
2023, Engineering Data Science Lab
- Issues for Continual Learning in the Presence of Dataset Bias
2023, 기계지능 및 데이터사이언스 연구실