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。
- Copyright Infringement Detection in Text-to-Image Diffusion Models via Differential Privacy
日本大学: 関与なし(対象大学)
- CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving
日本大学: 関与なし(対象大学)
- CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model
日本大学: 関与なし(対象大学)
- Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
日本大学: 関与なし(対象大学)
- Correcting Quantization-Induced Gradient Mismatch in Neural Image Compression
日本大学: 関与なし(対象大学)
- Correspondence Coverage Matters for Multi-Modal Dataset Distillation
日本大学: 関与なし(対象大学)
- Cost-Effective Communication: An Auction-based Method for Language Agent Interaction
日本大学: 関与なし(対象大学)
- Cost-Free Neutrality for the River Method
日本大学: 関与なし(対象大学)
- Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
日本大学: 関与なし(対象大学)
- CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
日本大学: 関与なし(対象大学)
- Counterfactual Fairness with Imperfect Causal Graphs
日本大学: 関与なし(対象大学)
- Counterfactual Planning for Generalizable Agents’ Actions
日本大学: 関与なし(対象大学)
- Counterfactual Question Generation Uncovering Learner Contradictions
日本大学: 関与なし(対象大学)
- Counterfactual eXplainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
日本大学: 関与なし(対象大学)
- Counterfactual-Driven Zero-Shot Classifier Expansion
日本大学: 関与なし(対象大学)
- Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction
日本大学: 関与なし(対象大学)
- Covariance Scattering Transforms
日本大学: 関与なし(対象大学)
- Coverage-Constrained Human-AI Cooperation with Multiple Experts
日本大学: 関与なし(対象大学)
- CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product
日本大学: 関与なし(対象大学)
- Creating Blank Canvas Against AI-enabled Image Forgery
日本大学: 関与なし(対象大学)
- Credal Ensemble Distillation for Uncertainty Quantification
日本大学: 関与なし(対象大学)
- CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search
日本大学: 関与なし(対象大学)
- Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling
日本大学: 関与なし(対象大学)
- Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
日本大学: 関与なし(対象大学)
- Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation
日本大学: 関与なし(対象大学)
- Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
日本大学: 関与なし(対象大学)
- Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models
日本大学: 関与なし(対象大学)
- Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
日本大学: 関与なし(対象大学)
- Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning
日本大学: 関与なし(対象大学)
- Cross-Space Synergy: A Unified Framework for Multimodal Emotion Recognition in Conversation
日本大学: 関与なし(対象大学)
- Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing
日本大学: 関与なし(対象大学)
- Cross-domain Joint Learning with Prototype-guided Mixture-of-Experts for Infrared Moving Small Target Detection
日本大学: 関与なし(対象大学)
- Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition
日本大学: 関与なし(対象大学)
- Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models
日本大学: 関与なし(対象大学)
- Cross-temporal 3D Gaussian Splatting for Sparse-view Guided Scene Update
日本大学: 関与なし(対象大学)
- Cross-view Anchor Graph Learning and Factorization for Incomplete Multi-view Clustering
日本大学: 関与なし(対象大学)
- CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution
日本大学: 関与なし(対象大学)
- CrossCut: Cross-Patch Aware Interactive Segmentation for Remote Sensing Images
日本大学: 関与なし(対象大学)
- CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models
日本大学: 関与なし(対象大学)
- CrystalDiT: Simple Diffusion Transformers for Crystal Generation
日本大学: 関与なし(対象大学)
- CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion
日本大学: 関与なし(対象大学)
- Cubing for Tuning
日本大学: 関与なし(対象大学)
- CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
日本大学: 関与なし(対象大学)
- Cueing Without Gapping: Cuer-Independent Cued Speech Recognition Powered by Cross-Cuer Invariant Modeling
日本大学: 関与なし(対象大学)
- CyC3D: Fine-grained Controllable 3D Generation via Cycle Consistency Regularization
日本大学: 関与なし(対象大学)
- Cyto-SSL: A Self-Supervised Pretraining Framework for Cytology Foundation Model
日本大学: 関与なし(対象大学)
- C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
日本大学: 関与なし(対象大学)
- D-FCGS: Feedforward Compression of Dynamic Gaussian Splatting for Free-Viewpoint Videos
日本大学: 関与なし(対象大学)
- D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies
日本大学: 関与なし(対象大学)
- D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness
日本大学: 関与なし(対象大学)
- D2MoRA: Diversity-Regulated Asymmetric MoE-LoRA Decomposition for Efficient Multi-Task Adaptation
日本大学: 関与なし(対象大学)
- D3-RSMDE: 40× Faster and High-Fidelity Remote Sensing Monocular Depth Estimation
日本大学: 関与なし(対象大学)
- D3ToM: Decider-Guided Dynamic Token Merging for Accelerating Diffusion MLLMs
日本大学: 関与なし(対象大学)
- DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation
日本大学: 関与なし(対象大学)
- DANCE: Density-agnostic and Class-aware Network for Point Cloud Completion
日本大学: 関与なし(対象大学)
- DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion
日本大学: 関与なし(対象大学)
- DAPE: Harmonizing Content-Position Encoding for Versatile Dense Visual Prediction
日本大学: 関与なし(対象大学)
- DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion
日本大学: 関与なし(対象大学)
- DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning
日本大学: 関与なし(対象大学)
- DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification
日本大学: 関与なし(対象大学)
- DAVID: Dual-stage Adaptive Vision-text Integrated Decoupling for Multimodal KV Cache Eviction
日本大学: 関与なし(対象大学)
- DAWN: Distributed LLM Multi-Agent Workflow Synthesis
日本大学: 関与なし(対象大学)
- DBGroup: Dual-Branch Point Grouping for Weakly Supervised 3D Semantic Instance Segmentation
日本大学: 関与なし(対象大学)
- DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering
日本大学: 関与なし(対象大学)
- DCA-LUT: Deep Chromatic Alignment with 5D LUT for Purple Fringing Removal
日本大学: 関与なし(対象大学)
- DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors
日本大学: 関与なし(対象大学)
- DCHO: A Decomposition–Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
日本大学: 関与なし(対象大学)
- DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging
日本大学: 関与なし(対象大学)
- DCTR: Dual-Constraint Subgraph Optimization for Knowledge Graph-based Retrieval-Augmented Generation
日本大学: 関与なし(対象大学)
- DEALT: LLM-driven Diversity-Enhanced Data Augmentation for Long-Tail Text Classification
日本大学: 関与なし(対象大学)
- DECON: Reconstruction of Clothed-Geometric Multiple Humans from a Single Image via Geometry-Guided Decoupling
日本大学: 関与なし(対象大学)
- DEFANet: Dual-Path Edge-Target Collaboration with Frequency-Aware Enhancement for Infrared Small Target Detection
日本大学: 関与なし(対象大学)
- DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics
日本大学: 関与なし(対象大学)
- DEIG: Detail-Enhanced Instance Generation with Fine-Grained Semantic Control
日本大学: 関与なし(対象大学)
- DEPO: Dual-Efficiency Preference Optimization for LLM Agents
日本大学: 関与なし(対象大学)
- DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
日本大学: 関与なし(対象大学)
- DFMN: A Dual-feet Matching Network with Hybrid Transformer-based Feature Extractor for Unsupervised Deformable Medical Image Registration
日本大学: 関与なし(対象大学)
- DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation
日本大学: 関与なし(対象大学)
- DGKAN: Dual-branch Graph Kolmogorov-Arnold Network for Unsupervised Multimodal Change Detection
日本大学: 関与なし(対象大学)
- DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
日本大学: 関与なし(対象大学)
- DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction
日本大学: 関与なし(対象大学)
- DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion
日本大学: 関与なし(対象大学)
- DHCM-CACL: Dynamic Hierarchical Cross-modal Mamba with Confidence-Adaptive Contrastive Learning for Multimodal Emotion Recognition
日本大学: 関与なし(対象大学)
- DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation
日本大学: 関与なし(対象大学)
- DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
日本大学: 関与なし(対象大学)
- DICE: Distilling Classifier-Free Guidance into Text Embeddings
日本大学: 関与なし(対象大学)
- DIET: Machine Unlearning on a Data-Diet
日本大学: 関与なし(対象大学)
- DIFFA: Large Language Diffusion Models Can Listen and Understand
日本大学: 関与なし(対象大学)
- DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks
日本大学: 関与なし(対象大学)
- DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning
日本大学: 関与なし(対象大学)
- DIN: Dual Impulse Network for Multi-view Representation Learning
日本大学: 関与なし(対象大学)
- DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis
日本大学: 関与なし(対象大学)
- DISCODE: Distribution-Aware Score Decoder for Robust Automatic Evaluation of Image Captioning
日本大学: 東京科学大学
- DLDA: Unified Dual-Level Domain Adaptation for Low-Light Object Detection
日本大学: 関与なし(対象大学)
- DLVINet: Advancing Dual-Lens Video Inpainting Beyond Parallax Constraints
日本大学: 関与なし(対象大学)
- DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering
日本大学: 関与なし(対象大学)
- DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
日本大学: 関与なし(対象大学)
- DMGINE: Day-Memory Guided Nighttime Image Enhancement for Dynamic Traffic Scenes
日本大学: 関与なし(対象大学)
- DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis
日本大学: 関与なし(対象大学)
- DNOI-4DRO: Deep 4D Radar Odometry with Differentiable Neural-Optimization Iterations
日本大学: 関与なし(対象大学)