Conferences · eligible papers
AAAI
2021–2025 確定版
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。
- Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment
日本大学: 関与なし(対象大学)
- Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios
日本大学: 関与なし(対象大学)
- Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined
日本大学: 関与なし(対象大学)
- SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing
日本大学: 関与なし(対象大学)
- Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization
日本大学: 関与なし(対象大学)
- Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization
日本大学: 関与なし(対象大学)
- Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering
日本大学: 関与なし(対象大学)
- Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning
日本大学: 関与なし(対象大学)
- Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
日本大学: 東京大学
- Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis
日本大学: 関与なし(対象大学)
- Semi-Implicit Neural Ordinary Differential Equations
日本大学: 関与なし(対象大学)
- Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation
日本大学: 関与なし(対象大学)
- Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label
日本大学: 関与なし(対象大学)
- Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities
日本大学: 関与なし(対象大学)
- Semi-Supervised Online Cross-Modal Hashing
日本大学: 関与なし(対象大学)
- Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance
日本大学: 関与なし(対象大学)
- Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation
日本大学: 関与なし(対象大学)
- SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
日本大学: 関与なし(対象大学)
- Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions
日本大学: 関与なし(対象大学)
- Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
日本大学: 関与なし(対象大学)
- Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing
日本大学: 関与なし(対象大学)
- Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
日本大学: 関与なし(対象大学)
- Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
日本大学: 関与なし(対象大学)
- Sequence Matters: Harnessing Video Models in 3D Super-Resolution
日本大学: 関与なし(対象大学)
- Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness
日本大学: 関与なし(対象大学)
- Sequential Joint Dependency Aware Human Pose Estimation with State Space Model
日本大学: 関与なし(対象大学)
- Set-Valued Sensitivity Analysis of Deep Neural Networks
日本大学: 関与なし(対象大学)
- Sharpening Neural Implicit Functions with Frequency Consolidation Priors
日本大学: 関与なし(対象大学)
- Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
日本大学: 関与なし(対象大学)
- Shield Synthesis for LTL Modulo Theories
日本大学: 関与なし(対象大学)
- ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries
日本大学: 関与なし(対象大学)
- SigStyle: Signature Style Transfer via Personalized Text-to-Image Models
日本大学: 関与なし(対象大学)
- Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production
日本大学: 関与なし(対象大学)
- Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
日本大学: 関与なし(対象大学)
- SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation
日本大学: 関与なし(対象大学)
- SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction
日本大学: 関与なし(対象大学)
- Similar Modality Enhancement and Action Consistency Learning for Weakly Supervised Temporal Action Localization
日本大学: 関与なし(対象大学)
- Simplifying Control Mechanism in Text-to-Image Diffusion Models
日本大学: 関与なし(対象大学)
- Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
日本大学: 関与なし(対象大学)
- Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
日本大学: 関与なし(対象大学)
- Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models
日本大学: 関与なし(対象大学)
- Single Image Rolling Shutter Removal with Diffusion Models
日本大学: 関与なし(対象大学)
- Single-Loop Federated Actor-Critic across Heterogeneous Environments
日本大学: 関与なし(対象大学)
- Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
日本大学: 関与なし(対象大学)
- Single-view Image to Novel-view Generation for Hand-Object Interactions
日本大学: 関与なし(対象大学)
- Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
日本大学: 関与なし(対象大学)
- Situation Calculus Temporally Lifted Abstractions for Generalized Planning
日本大学: 関与なし(対象大学)
- Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion
日本大学: 関与なし(対象大学)
- Skill Disentanglement in Reproducing Kernel Hilbert Space
日本大学: 関与なし(対象大学)
- SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
日本大学: 関与なし(対象大学)
- Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion
日本大学: 関与なし(対象大学)
- SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration
日本大学: 関与なし(対象大学)
- SlerpFace: Face Template Protection via Spherical Linear Interpolation
日本大学: 関与なし(対象大学)
- Slice-and-Pack: Tailoring Deep Models for Customized Requirements
日本大学: 関与なし(対象大学)
- Small Language Model Makes an Effective Long Text Extractor
日本大学: 関与なし(対象大学)
- Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
日本大学: 関与なし(対象大学)
- SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
日本大学: 関与なし(対象大学)
- Social Recommendation via Graph-Level Counterfactual Augmentation
日本大学: 関与なし(対象大学)
- SocialSim: Towards Socialized Simulation of Emotional Support Conversation
日本大学: 関与なし(対象大学)
- Solving Epistemic Logic Programs Using Generate-and-Test with Propagation
日本大学: 関与なし(対象大学)
- Solving Higher-Order Quantified Boolean Satisfiability via Higher-Order Model Checking
- Solving Multiagent Path Finding on Highly Centralized Networks
日本大学: 関与なし(対象大学)
- Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
日本大学: 関与なし(対象大学)
- SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor
日本大学: 関与なし(対象大学)
- SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training
日本大学: 関与なし(対象大学)
- SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away
日本大学: 関与なし(対象大学)
- Sound Over-Approximation of Equational Reasoning with Variable-Preserving Rules Parameterized by Derivation Depth
日本大学: 関与なし(対象大学)
- SoundBrush: Sound as a Brush for Visual Scene Editing
日本大学: 関与なし(対象大学)
- Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction
日本大学: 関与なし(対象大学)
- SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks
日本大学: 関与なし(対象大学)
- Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views
日本大学: 関与なし(対象大学)
- Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study
日本大学: 関与なし(対象大学)
- Spatial Annealing for Efficient Few-shot Neural Rendering
日本大学: 関与なし(対象大学)
- Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction
日本大学: 関与なし(対象大学)
- Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
日本大学: 関与なし(対象大学)
- SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos
日本大学: 関与なし(対象大学)
- Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising
日本大学: 関与なし(対象大学)
- Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction
日本大学: 関与なし(対象大学)
- Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
日本大学: 関与なし(対象大学)
- SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis
日本大学: 関与なし(対象大学)
- Specifying What You Know or Not for Multi-Label Class-Incremental Learning
日本大学: 関与なし(対象大学)
- Spectra of Cardinality Queries over Description Logic Knowledge Bases
日本大学: 関与なし(対象大学)
- Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models
日本大学: 関与なし(対象大学)
- Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration
日本大学: 関与なし(対象大学)
- Speech Watermarking with Discrete Intermediate Representations
日本大学: 関与なし(対象大学)
- Speed Master: Quick or Slow Play to Attack Speaker Recognition
日本大学: 関与なし(対象大学)
- Speeding Up the NSGA-II with a Simple Tie-Breaking Rule
日本大学: 関与なし(対象大学)
- Speedup Techniques for Switchable Temporal Plan Graph Optimization
日本大学: 関与なし(対象大学)
- Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
日本大学: 関与なし(対象大学)
- SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera
日本大学: 関与なし(対象大学)
- Spiking Point Transformer for Point Cloud Classification
日本大学: 関与なし(対象大学)
- SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
日本大学: 関与なし(対象大学)
- SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks
日本大学: 関与なし(対象大学)
- Spin: Diffusion-based Semantic Image Painting Through Independent Information Injection
日本大学: 関与なし(対象大学)
- SpotActor: Training-Free Layout-Controlled Consistent Image Generation
日本大学: 関与なし(対象大学)
- SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration
日本大学: 関与なし(対象大学)
- Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
日本大学: 関与なし(対象大学)
- SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
日本大学: 関与なし(対象大学)
- Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
日本大学: 関与なし(対象大学)
- Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
日本大学: 関与なし(対象大学)