Conferences · eligible papers
AAAI
2022–2026 LIVE
2026 · 4,149 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。
- ST-SAM: Multimodal Scene Text Segmentation with Dense Visual and Sparse Textual Prompts via SAM
日本大学: 関与なし(対象大学)
- ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization
日本大学: 関与なし(対象大学)
- ST-VLM: A Spatial-to-Image Multimodal Spatial-Temporal Prediction Framework with Vision-Language Model
日本大学: 関与なし(対象大学)
- STEP-Nav: Spatial-Temporal Efficient Visual Token Pruning for Vision-and-Language Navigation with Large Language Models
日本大学: 関与なし(対象大学)
- STMI: Segmentation-Guided Token Modulation with Cross-Modal Hypergraph Interaction for Multi-Modal Object Re-Identification
日本大学: 関与なし(対象大学)
- STOLA: Self-Adaptive Touch-Language Framework for Tactile Commonsense Reasoning in Open-Ended Scenarios
日本大学: 関与なし(対象大学)
- STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes
- STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models
日本大学: 関与なし(対象大学)
- STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting
日本大学: 関与なし(対象大学)
- SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition
日本大学: 関与なし(対象大学)
- SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
日本大学: 関与なし(対象大学)
- SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification
日本大学: 関与なし(対象大学)
- SWIFT:A General Sensitive Weight Identification Framework for Fast Sensor-Transfer Pansharpening
日本大学: 関与なし(対象大学)
- S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting
日本大学: 関与なし(対象大学)
- Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization
日本大学: 関与なし(対象大学)
- Safe RAG by RAG: Untying the Bell That RAG Rang with the RAG Hand
日本大学: 関与なし(対象大学)
- SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
日本大学: 関与なし(対象大学)
- SafeNLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces
日本大学: 関与なし(対象大学)
- SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge
日本大学: 関与なし(対象大学)
- SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
日本大学: 関与なし(対象大学)
- Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions
日本大学: 関与なし(対象大学)
- SafetyReminder: Reviving Delayed Safety Awareness of Vision-Language Models to Defend Against Jailbreak Attacks
日本大学: 関与なし(対象大学)
- SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement
日本大学: 関与なし(対象大学)
- SalDiff-DTM: A Novel Dual-Temporal Modulated Diffusion Model for Omnidirectional Images Scanpath Prediction
日本大学: 関与なし(対象大学)
- Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction
日本大学: 関与なし(対象大学)
- Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions
日本大学: 関与なし(対象大学)
- Sample-specific Modality Diagnosis and Cross-modal Enhancement for Incomplete Multimodal Representations
日本大学: 関与なし(対象大学)
- Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
日本大学: 関与なし(対象大学)
- Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models
日本大学: 関与なし(対象大学)
- SampurNER: Fine-Grained Named Entity Recognition Dataset for 22 Indian Languages
日本大学: 関与なし(対象大学)
- Sarcopenia Assessment Model Based on Dual-Source Modal Graph
日本大学: 関与なし(対象大学)
- Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery
日本大学: 関与なし(対象大学)
- SatireDecoder: Visual Cascaded Decoupling for Enhancing Satirical Image Comprehension
日本大学: 関与なし(対象大学)
- Satisficing and Optimal Generalised Planning via Goal Regression
日本大学: 関与なし(対象大学)
- Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding
日本大学: 関与なし(対象大学)
- Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition
日本大学: 関与なし(対象大学)
- Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
日本大学: 関与なし(対象大学)
- Scalable Privacy-Preserving Neural Network Training over Z2k via RMFE-Based Packing and Mixed-Circuit Computation
日本大学: 関与なし(対象大学)
- Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks
日本大学: 関与なし(対象大学)
- Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics
日本大学: 関与なし(対象大学)
- Scalable Solutions to Zero-Sum Partially Observable Stochastic Games Through Belief Aggregation with Approximation Guarantees
日本大学: 関与なし(対象大学)
- Scalable Vision-Guided Crop Yield Estimation
日本大学: 関与なし(対象大学)
- Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing
日本大学: 関与なし(対象大学)
- Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios
日本大学: 関与なし(対象大学)
- Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
日本大学: 関与なし(対象大学)
- Scaling Law for Large Wireless Models
日本大学: 関与なし(対象大学)
- Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation
日本大学: 関与なし(対象大学)
- Scaling Towards the Information Boundary of Instructions through Data Synthesizing
日本大学: 関与なし(対象大学)
- Scaling and Transferability of Annealing Strategies in Large Language Model Training
日本大学: 関与なし(対象大学)
- Scaling-up Perceptual Video Quality Assessment
日本大学: 関与なし(対象大学)
- Scene Experts: Specializing in 3D Gaussian Splatting with Adaptive Decomposition
日本大学: 関与なし(対象大学)
- Scene-Aware Spatiotemporal Generalization: Towards Robust Temporal Action Detection Across Domains
日本大学: 関与なし(対象大学)
- SceneGenesis: 3D Scene Synthesis via Semantic Structural Priors and Mesh-Guided Video-Geometry Fusion
日本大学: 関与なし(対象大学)
- SceneJailEval: A Scenario-Adaptive Multi-Dimensional Framework for Jailbreak Evaluation
日本大学: 関与なし(対象大学)
- SchellingFormer: Laplacian Matrix-guided Geometric Transformer for Robust Schelling Point Detection
日本大学: 関与なし(対象大学)
- Schema-Guided Event Reasoning: A Plug-and-Play Event Reasoning Framework Based on Large Language Models
日本大学: 関与なし(対象大学)
- Schema-Guided Scene-Graph Reasoning Based on Multi-Agent Large Language Model System
日本大学: 関与なし(対象大学)
- SciMKG: A Multimodal Knowledge Graph for Science Education with Text, Image, Video and Audio
日本大学: 関与なし(対象大学)
- Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems
日本大学: 関与なし(対象大学)
- Score-Based Model for Low-Rank Tensor Recovery
日本大学: 関与なし(対象大学)
- SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design
日本大学: 関与なし(対象大学)
- SeViL: Semi-supervised Vision-Language Learning with Text Prompt Guiding for Moving Infrared Small Target Detection
日本大学: 関与なし(対象大学)
- SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute
日本大学: 関与なし(対象大学)
- Security Games with Layered Defenses: Adaptive Adversaries and Gittins Indices
日本大学: 関与なし(対象大学)
- See, Rank, and Filter: Important Word-Aware Clip Filtering via Scene Understanding for Moment Retrieval and Highlight Detection
日本大学: 関与なし(対象大学)
- Seeing Beyond Illusion: Generalized and Efficient Mirror Detection
日本大学: 関与なし(対象大学)
- Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence
日本大学: 関与なし(対象大学)
- Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding
日本大学: 関与なし(対象大学)
- Seeing Through the Rain: Resolving High-Frequency Conflicts in Deraining and Super-Resolution via Diffusion Guidance
日本大学: 東京大学
- Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
日本大学: 関与なし(対象大学)
- Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs
日本大学: 関与なし(対象大学)
- Seeing in Double: Dual-Granularity BEV Segmentation via Mamba-Driven Alignment and Polar-Decoupled Experts
日本大学: 関与なし(対象大学)
- Seeing the Unseen: Zooming in the Dark with Event Cameras
日本大学: 関与なし(対象大学)
- Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented Generation
日本大学: 関与なし(対象大学)
- SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features
日本大学: 関与なし(対象大学)
- SegMem-RAG: Adaptive Memory for Retrieval-Augmented Generation in Open-Ended Knowledge Environments
日本大学: 関与なし(対象大学)
- Segment Anything Across Shots: A Method and Benchmark
日本大学: 関与なし(対象大学)
- Segment and Matte Anything in a Unified Model
日本大学: 関与なし(対象大学)
- Selection of LLM Fine-Tuning Data Based on Orthogonal Rules
日本大学: 関与なし(対象大学)
- Selective Diffusion Distillation for Real-World High-Scale Image Super-Resolution
日本大学: 関与なし(対象大学)
- Self-Adaptive Graph Mixture of Models
日本大学: 関与なし(対象大学)
- Self-Correction Distillation for Structured Data Question Answering
日本大学: 関与なし(対象大学)
- Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
日本大学: 関与なし(対象大学)
- Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning
日本大学: 関与なし(対象大学)
- Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys
日本大学: 関与なし(対象大学)
- Self-Interpretable Subgraph Neural Network with Deep Reinforcement Walk Exploration
日本大学: 早稲田大学
- Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning
日本大学: 関与なし(対象大学)
- Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
日本大学: 関与なし(対象大学)
- Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning
日本大学: 関与なし(対象大学)
- Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction
日本大学: 関与なし(対象大学)
- Self-Supervised Inductive Logic Programming
日本大学: 関与なし(対象大学)
- Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation
日本大学: 関与なし(対象大学)
- Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
日本大学: 関与なし(対象大学)
- Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection
日本大学: 関与なし(対象大学)
- Self-supervised Multiplex Consensus Mamba for General Image Fusion
日本大学: 関与なし(対象大学)
- Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling
日本大学: 関与なし(対象大学)
- Semantic Feature Purification for Adversarially-Aware RGB-T Tracking
日本大学: 関与なし(対象大学)
- Semantic Guided Part Relation-aware Network for Point Cloud Completion
日本大学: 関与なし(対象大学)
- Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs
日本大学: 関与なし(対象大学)
- Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration
日本大学: 関与なし(対象大学)