Conferences · eligible papers
AAAI
2022–2026 LIVE
2025 · 3,028 papers
このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。
- Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency
日本大学: 関与なし(対象大学)
- Multi-View Multi-Label Classification via View-Label Matching Selection
日本大学: 関与なし(対象大学)
- Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset
日本大学: 関与なし(対象大学)
- Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering
日本大学: 関与なし(対象大学)
- Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration
日本大学: 関与なし(対象大学)
- Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection
日本大学: 関与なし(対象大学)
- Multi-concept Model Immunization through Differentiable Model Merging
日本大学: 関与なし(対象大学)
- Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning
日本大学: 関与なし(対象大学)
- Multi-label Self Knowledge Distillation
日本大学: 関与なし(対象大学)
- Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning
日本大学: 関与なし(対象大学)
- Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech
日本大学: 関与なし(対象大学)
- Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition
日本大学: 関与なし(対象大学)
- Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints
日本大学: 関与なし(対象大学)
- Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning
日本大学: 関与なし(対象大学)
- Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning
日本大学: 関与なし(対象大学)
- Multi-view Consistent 3D Panoptic Scene Understanding
日本大学: 関与なし(対象大学)
- Multi-view Evidential Learning-based Medical Image Segmentation
日本大学: 関与なし(対象大学)
- Multi-view Granular-ball Contrastive Clustering
日本大学: 関与なし(対象大学)
- MultiBooth: Towards Generating All Your Concepts in an Image from Text
日本大学: 関与なし(対象大学)
- MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay
日本大学: 関与なし(対象大学)
- Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
日本大学: 関与なし(対象大学)
- Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages
日本大学: 関与なし(対象大学)
- Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English
日本大学: 関与なし(対象大学)
- Multimodal Class-aware Semantic Enhancement Network for Audio-Visual Video Parsing
日本大学: 関与なし(対象大学)
- Multimodal Fine-Grained Apparent Personality Trait Recognition: Joint Modeling of Big Five and Questionnaire Item-level Scores
日本大学: 関与なし(対象大学)
- Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning
日本大学: 関与なし(対象大学)
- Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering
日本大学: 関与なし(対象大学)
- Multimodal Promptable Token Merging for Diffusion Models
日本大学: 関与なし(対象大学)
- Multimodal Variational Autoencoder: A Barycentric View
日本大学: 関与なし(対象大学)
- Multiple Feature Refining Network for Visual Emotion Distribution Learning
日本大学: 関与なし(対象大学)
- Multiple Mean-Payoff Optimization Under Local Stability Constraints
日本大学: 関与なし(対象大学)
- Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
日本大学: 関与なし(対象大学)
- Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
日本大学: 関与なし(対象大学)
- Multiplex Graph Representation Learning with Homophily and Consistency
日本大学: 関与なし(対象大学)
- Multispectral Pedestrian Detection with Sparsely Annotated Label
日本大学: 関与なし(対象大学)
- Muses: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration
日本大学: 関与なし(対象大学)
- M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity
日本大学: 関与なし(対象大学)
- M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection
日本大学: 関与なし(対象大学)
- NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR
日本大学: 関与なし(対象大学)
- NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
日本大学: 関与なし(対象大学)
- NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
日本大学: 関与なし(対象大学)
- NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
日本大学: 関与なし(対象大学)
- NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models
日本大学: 関与なし(対象大学)
- NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation
日本大学: 関与なし(対象大学)
- Navigating Label Ambiguity for Facial Expression Recognition in the Wild
日本大学: 関与なし(対象大学)
- Navigating Towards Fairness with Data Selection
日本大学: 関与なし(対象大学)
- NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
日本大学: 関与なし(対象大学)
- Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
日本大学: 関与なし(対象大学)
- Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line
日本大学: 関与なし(対象大学)
- Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
日本大学: 関与なし(対象大学)
- Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling
日本大学: 関与なし(対象大学)
- Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images
日本大学: 関与なし(対象大学)
- Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation
日本大学: 関与なし(対象大学)
- Neural Collapse Inspired Knowledge Distillation
日本大学: 関与なし(対象大学)
- Neural Combinatorial Clustered Bandits for Recommendation Systems
日本大学: 関与なし(対象大学)
- Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
日本大学: 関与なし(対象大学)
- Neural Conformal Control for Time Series Forecasting
日本大学: 関与なし(対象大学)
- Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
日本大学: 関与なし(対象大学)
- Neural Control and Certificate Repair via Runtime Monitoring
日本大学: 関与なし(対象大学)
- Neural Networks Perform Sufficient Dimension Reduction
日本大学: 関与なし(対象大学)
- Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
日本大学: 関与なし(対象大学)
- Neural Reasoning for Sure Through Constructing Explainable Models
日本大学: 関与なし(対象大学)
- Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
日本大学: 関与なし(対象大学)
- Neural Variable-Order Fractional Differential Equation Networks
日本大学: 関与なし(対象大学)
- Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
日本大学: 関与なし(対象大学)
- NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings
日本大学: 関与なし(対象大学)
- New Compilation Languages Based on Restricted Weak Decomposability
日本大学: 関与なし(対象大学)
- NightHaze: Nighttime Image Dehazing via Self-Prior Learning
日本大学: 関与なし(対象大学)
- NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark
日本大学: 関与なし(対象大学)
- No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
日本大学: 関与なし(対象大学)
- Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
日本大学: 関与なし(対象大学)
- Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning
日本大学: 関与なし(対象大学)
- NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning
日本大学: 関与なし(対象大学)
- Noisy Correspondence Rectification via Asymmetric Similarity Learning
日本大学: 関与なし(対象大学)
- Noisy Label Calibration for Multi-View Classification
日本大学: 関与なし(対象大学)
- Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
日本大学: 関与なし(対象大学)
- Non-Convex Tensor Recovery from Local Measurements
日本大学: 関与なし(対象大学)
- Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback
日本大学: 関与なし(対象大学)
- Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes
日本大学: 関与なし(対象大学)
- Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
日本大学: 関与なし(対象大学)
- Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous Driving
日本大学: 関与なし(対象大学)
- Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
日本大学: 関与なし(対象大学)
- Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
日本大学: 関与なし(対象大学)
- NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
日本大学: 関与なし(対象大学)
- Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
- Numerical Pruning for Efficient Autoregressive Models
日本大学: 関与なし(対象大学)
- OAC: Output-adaptive Calibration for Accurate Post-training Quantization
日本大学: 関与なし(対象大学)
- OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow
日本大学: 関与なし(対象大学)
- ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
日本大学: 関与なし(対象大学)
- OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation
日本大学: 関与なし(対象大学)
- OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition
日本大学: 関与なし(対象大学)
- OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving
日本大学: 関与なし(対象大学)
- OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning
日本大学: 関与なし(対象大学)
- OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On
日本大学: 関与なし(対象大学)
- OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer
日本大学: 関与なし(対象大学)
- OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion
日本大学: 関与なし(対象大学)
- OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
日本大学: 関与なし(対象大学)
- OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion
日本大学: 関与なし(対象大学)
- OUS: Bridging Scene Context and Facial Features to Overcome the Rigid Cognitive Problem
日本大学: 関与なし(対象大学)
- OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision
日本大学: 関与なし(対象大学)