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。
- Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
日本大学: 関与なし(対象大学)
- Earth-Adapter: Bridge the Geospatial Domain Gaps with a Frequency-Guided Mixture of Adapters
日本大学: 関与なし(対象大学)
- EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion
日本大学: 関与なし(対象大学)
- Easy for Children, Hard for AI: The Limits of Multimodal LLMs in Early Childhood Learning
日本大学: 関与なし(対象大学)
- Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias
日本大学: 関与なし(対象大学)
- EasyText: Controllable Diffusion Transformer for Multilingual Text Rendering
日本大学: 関与なし(対象大学)
- EccoMamba: Enhanced Cross-hierarchical Continuity Orthogonal Mamba for Medical Image Segmentation
日本大学: 関与なし(対象大学)
- EchoBat: Echo-Vision Enhancement and Echo-Layered Sampling for Video LLMs Hallucination Mitigation
日本大学: 関与なし(対象大学)
- EchoEdit: Consistent Multi-Hop Question Answering via Ripple Control in Knowledge Editing
日本大学: 関与なし(対象大学)
- EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding
日本大学: 関与なし(対象大学)
- EchoMimicV3: 1.3B Parameters Are All You Need for Unified Multi-Modal and Multi-Task Human Animation
日本大学: 関与なし(対象大学)
- Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
日本大学: 関与なし(対象大学)
- EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation
日本大学: 関与なし(対象大学)
- Edge Consistency for 4D Gaussian Splatting in Dynamic Scene Rendering
日本大学: 関与なし(対象大学)
- Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency
日本大学: 関与なし(対象大学)
- Edge-Binary Public Goods Games
日本大学: 関与なし(対象大学)
- Edge-Centric Relational Reasoning for 3D Scene Graph Prediction
日本大学: 関与なし(対象大学)
- EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification
日本大学: 関与なし(対象大学)
- Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models
日本大学: 関与なし(対象大学)
- EduGuardBench: A Holistic Benchmark for Evaluating the Pedagogical Fidelity and Adversarial Safety of LLMs as Simulated Teachers
日本大学: 関与なし(対象大学)
- Effective Robotic Cloth Grasping Through Suppressing False Discoveries
日本大学: 関与なし(対象大学)
- Efficient Diffusion Planning with Temporal Diffusion
日本大学: 関与なし(対象大学)
- Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization
日本大学: 関与なし(対象大学)
- Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration
日本大学: 関与なし(対象大学)
- Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak
日本大学: 関与なし(対象大学)
- Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization
日本大学: 関与なし(対象大学)
- Efficient Multiagent Planning via Shared Action Suggestions
日本大学: 関与なし(対象大学)
- Efficient Multimodal Large Language Model via Dynamic KV Cache Quantization
日本大学: 関与なし(対象大学)
- Efficient Plug-and-Play Weight Refinement for Sparse Large Models
日本大学: 関与なし(対象大学)
- Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
日本大学: 関与なし(対象大学)
- Efficient Protein Optimization via Structure-aware Hamiltonian Dynamics
日本大学: 関与なし(対象大学)
- Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
日本大学: 関与なし(対象大学)
- Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
日本大学: 関与なし(対象大学)
- Efficient Rule Induction by Ignoring Pointless Rules
日本大学: 関与なし(対象大学)
- Efficient Segmentation with Multimodal Large Language Model via Token Routing
日本大学: 関与なし(対象大学)
- Efficient Solution and Learning of Robust Factored MDPs
日本大学: 関与なし(対象大学)
- Efficient Tensorized Multi-View Anchor Graph Clustering with Affinity Propagation for Remote Sensing Data
日本大学: 関与なし(対象大学)
- Efficient Thought Space Exploration Through Strategic Intervention
日本大学: 関与なし(対象大学)
- Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models
日本大学: 関与なし(対象大学)
- Efficient Verification and Falsification of ReLU Neural Barrier Certificates
日本大学: 関与なし(対象大学)
- Efficient and Adaptive Simultaneous Speech Translation with Fully Unidirectional Architecture
日本大学: 関与なし(対象大学)
- Efficient and Effective In-context Demonstration Selection with Coreset
日本大学: 関与なし(対象大学)
- Efficient and Reliable Hitting-Set Computations for the Implicit Hitting Set Approach
日本大学: 関与なし(対象大学)
- Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model
日本大学: 関与なし(対象大学)
- EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers
日本大学: 関与なし(対象大学)
- EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
日本大学: 関与なし(対象大学)
- Efficiently Computing Compact Formal Explanations
日本大学: 関与なし(対象大学)
- Efficiently Enhancing Long-term Series Forecasting via Adaptive Lookback with Wavelets
日本大学: 関与なし(対象大学)
- Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond
日本大学: 関与なし(対象大学)
- Ego-PMOVE: Prompt-aware Mixture of View Experts Network for Egocentric Gaze Prediction
日本大学: 関与なし(対象大学)
- EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
日本大学: 関与なし(対象大学)
- Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization
日本大学: 関与なし(対象大学)
- EigenShield: Inference-Time, Model-Agnostic Jailbreaking Defense via Causal Subspace Filtering
日本大学: 関与なし(対象大学)
- ElastoGen: 4D Generative Elastodynamics
日本大学: 関与なし(対象大学)
- ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games
日本大学: 関与なし(対象大学)
- Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization
日本大学: 関与なし(対象大学)
- Elite Pattern Reinforcement for Vehicle Routing Problems
日本大学: 関与なし(対象大学)
- Ellipsoid-Based Decision Boundaries for Open Intent Classification
日本大学: 関与なし(対象大学)
- Embracing Positional Bias in Multiple-Choice Question Answering via Permutation Equivariant Neural Networks
日本大学: 関与なし(対象大学)
- EmbryoDiff: A Conditional Diffusion Framework with Multi-Focal Feature Fusion for Fine-Grained Embryo Developmental Stage Recognition
日本大学: 関与なし(対象大学)
- Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games
日本大学: 関与なし(対象大学)
- EmoVid: A Multimodal Emotion Video Dataset for Emotion-Centric Video Understanding and Generation
日本大学: 関与なし(対象大学)
- Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
日本大学: 関与なし(対象大学)
- Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale Verifier
日本大学: 関与なし(対象大学)
- Emotion-Conditioned Motion Sub-spaces with Flow Matching for Real-Time Audio-Driven Talking Heads
日本大学: 関与なし(対象大学)
- Empowering DINO Representations for Underwater Instance Segmentation via Aligner and Prompter
日本大学: 関与なし(対象大学)
- Empowering Semantic-Sensitive Underwater Image Enhancement with VLM
日本大学: 関与なし(対象大学)
- Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views
日本大学: 関与なし(対象大学)
- EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation
日本大学: 関与なし(対象大学)
- Encode Geometric Diagram as Geo-Graph in Geometry Problem Solving
日本大学: 関与なし(対象大学)
- End-to-End Contrastive Language-Speech Pretraining Model for Long-Form Spoken Question Answering
日本大学: 関与なし(対象大学)
- End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models
日本大学: 関与なし(対象大学)
- End-to-End Multi-Person Pose Estimation with Pose-Aware Video Transformer
日本大学: 関与なし(対象大学)
- EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion
日本大学: 関与なし(対象大学)
- Endowing Vision-Language Models with System 2 Thinking for Fine-grained Visual Recognition
日本大学: 関与なし(対象大学)
- Energy-based Autoregressive Generation for Neural Population Dynamics
日本大学: 関与なし(対象大学)
- Energy-guided Dual Domain-invariant Prompting Framework with Fourier Regularization for Generalized Few-Shot Medical Segmentation
日本大学: 関与なし(対象大学)
- Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario
日本大学: 関与なし(対象大学)
- Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models
日本大学: 関与なし(対象大学)
- Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping
日本大学: 関与なし(対象大学)
- Enhancing Chemical Explainability Through Counterfactual Masking
日本大学: 関与なし(対象大学)
- Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States
日本大学: 関与なし(対象大学)
- Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
日本大学: 関与なし(対象大学)
- Enhancing DPSGD via Per-Sample Momentum and Low-Pass Filtering
日本大学: 関与なし(対象大学)
- Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning
日本大学: 関与なし(対象大学)
- Enhancing Exploration and Exploitation in Hierarchical Reinforcement Learning with Subgoal Graph Learning
日本大学: 関与なし(対象大学)
- Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization
日本大学: 関与なし(対象大学)
- Enhancing Interpretability for Vision Models via Shapley Value Optimization
日本大学: 関与なし(対象大学)
- Enhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method
日本大学: 関与なし(対象大学)
- Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
日本大学: 関与なし(対象大学)
- Enhancing Medical Large Vision-Language Models via Alignment Distillation
日本大学: 関与なし(対象大学)
- Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion
日本大学: 関与なし(対象大学)
- Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
日本大学: 関与なし(対象大学)
- Enhancing Noise Resilience in Face Clustering via Sparse Differential Transformer
日本大学: 関与なし(対象大学)
- Enhancing PIBT via Multi-Action Operations
日本大学: 関与なし(対象大学)
- Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection
日本大学: 関与なし(対象大学)
- Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation
日本大学: 関与なし(対象大学)
- Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms
日本大学: 関与なし(対象大学)
- Enhancing Spatial Reasoning Through Visual and Textual Thinking
日本大学: 関与なし(対象大学)
- Enhancing Stability and Fidelity for Zero-Shot TTS with a Multi-Level Evaluator
日本大学: 関与なし(対象大学)