Conferences · eligible papers
AAAI
2022–2026 LIVE
2024 · 2,331 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。
- Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds
日本大学: 関与なし(対象大学)
- Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification
日本大学: 関与なし(対象大学)
- Manipulation-Robust Selection of Citizens’ Assemblies
日本大学: 関与なし(対象大学)
- Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
日本大学: 関与なし(対象大学)
- Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation
日本大学: 関与なし(対象大学)
- MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
日本大学: 関与なし(対象大学)
- Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models
日本大学: 関与なし(対象大学)
- MatchDet: A Collaborative Framework for Image Matching and Object Detection
日本大学: 関与なし(対象大学)
- MathAttack: Attacking Large Language Models towards Math Solving Ability
日本大学: 関与なし(対象大学)
- Maxileximin Envy Allocations and Connected Goods
日本大学: 関与なし(対象大学)
- Maximizing Nash Social Welfare under Two-Sided Preferences
日本大学: 関与なし(対象大学)
- Maximizing the Success Probability of Policy Allocations in Online Systems
日本大学: 関与なし(対象大学)
- MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance
日本大学: 関与なし(対象大学)
- Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework
日本大学: 関与なし(対象大学)
- Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features
日本大学: 関与なし(対象大学)
- Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
日本大学: 関与なし(対象大学)
- MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models
日本大学: 関与なし(対象大学)
- MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer
日本大学: 関与なし(対象大学)
- Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
- Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
日本大学: 関与なし(対象大学)
- Memory-Efficient Reversible Spiking Neural Networks
日本大学: 関与なし(対象大学)
- MemoryBank: Enhancing Large Language Models with Long-Term Memory
日本大学: 関与なし(対象大学)
- Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables
日本大学: 関与なし(対象大学)
- Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
日本大学: 関与なし(対象大学)
- Meta-Reinforcement Learning via Exploratory Task Clustering
日本大学: 関与なし(対象大学)
- MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
日本大学: 関与なし(対象大学)
- MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
日本大学: 関与なし(対象大学)
- MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization
日本大学: 関与なし(対象大学)
- MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
日本大学: 関与なし(対象大学)
- Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation
日本大学: 関与なし(対象大学)
- MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models
日本大学: 関与なし(対象大学)
- Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization
日本大学: 関与なし(対象大学)
- Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)
日本大学: 関与なし(対象大学)
- Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents
日本大学: 関与なし(対象大学)
- Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
日本大学: 関与なし(対象大学)
- Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
日本大学: 関与なし(対象大学)
- Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension
日本大学: 関与なし(対象大学)
- Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
日本大学: 関与なし(対象大学)
- Mitigating Label Noise through Data Ambiguation
日本大学: 関与なし(対象大学)
- Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting
日本大学: 関与なし(対象大学)
- Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization
日本大学: 関与なし(対象大学)
- Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
日本大学: 関与なし(対象大学)
- Mixed-Effects Contextual Bandits
日本大学: 関与なし(対象大学)
- Mixup-Induced Domain Extrapolation for Domain Generalization
日本大学: 関与なし(対象大学)
- MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning
日本大学: 関与なし(対象大学)
- MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts
日本大学: 関与なし(対象大学)
- MobileInst: Video Instance Segmentation on the Mobile
日本大学: 関与なし(対象大学)
- ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting
日本大学: 関与なし(対象大学)
- Model Counting and Sampling via Semiring Extensions
日本大学: 関与なし(対象大学)
- Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB
日本大学: 関与なし(対象大学)
- Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
日本大学: 関与なし(対象大学)
- Modeling Continuous Motion for 3D Point Cloud Object Tracking
日本大学: 関与なし(対象大学)
- Modeling Knowledge Graphs with Composite Reasoning
日本大学: 関与なし(対象大学)
- Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
日本大学: 関与なし(対象大学)
- MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
日本大学: 関与なし(対象大学)
- Molecular Optimization Model with Patentability Constraint
日本大学: 関与なし(対象大学)
- Mono3DVG: 3D Visual Grounding in Monocular Images
日本大学: 関与なし(対象大学)
- Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
日本大学: 関与なし(対象大学)
- Monte Carlo Tree Search in the Presence of Transition Uncertainty
日本大学: 関与なし(対象大学)
- Moral Uncertainty and the Problem of Fanaticism
日本大学: 関与なし(対象大学)
- MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders
日本大学: 関与なし(対象大学)
- Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
日本大学: 関与なし(対象大学)
- Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events
日本大学: 関与なし(対象大学)
- MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
日本大学: 関与なし(対象大学)
- MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation
日本大学: 関与なし(対象大学)
- MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling
日本大学: 関与なし(対象大学)
- MuST: Robust Image Watermarking for Multi-Source Tracing
日本大学: 関与なし(対象大学)
- Multi-Architecture Multi-Expert Diffusion Models
日本大学: 関与なし(対象大学)
- Multi-Class Support Vector Machine with Maximizing Minimum Margin
日本大学: 関与なし(対象大学)
- Multi-Constellation-Inspired Single-Shot Global LiDAR Localization
日本大学: 関与なし(対象大学)
- Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing
日本大学: 関与なし(対象大学)
- Multi-Dimensional Fair Federated Learning
日本大学: 関与なし(対象大学)
- Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search
日本大学: 関与なし(対象大学)
- Multi-Domain Incremental Learning for Face Presentation Attack Detection
日本大学: 関与なし(対象大学)
- Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement
日本大学: 関与なし(対象大学)
- Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
日本大学: 関与なし(対象大学)
- Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition
日本大学: 関与なし(対象大学)
- Multi-Granularity Causal Structure Learning
日本大学: 関与なし(対象大学)
- Multi-Label Supervised Contrastive Learning
日本大学: 関与なし(対象大学)
- Multi-Level Cross-Modal Alignment for Image Clustering
日本大学: 関与なし(対象大学)
- Multi-Modal Disordered Representation Learning Network for Description-Based Person Search
日本大学: 関与なし(対象大学)
- Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models
日本大学: 関与なし(対象大学)
- Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection
日本大学: 関与なし(対象大学)
- Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation
日本大学: 関与なし(対象大学)
- Multi-Objective Bayesian Optimization with Active Preference Learning
- Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification
日本大学: 関与なし(対象大学)
- Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation
日本大学: 関与なし(対象大学)
- Multi-Region Text-Driven Manipulation of Diffusion Imagery
日本大学: 関与なし(対象大学)
- Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
日本大学: 関与なし(対象大学)
- Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
日本大学: 関与なし(対象大学)
- Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models
日本大学: 関与なし(対象大学)
- Multi-View Dynamic Reflection Prior for Video Glass Surface Detection
日本大学: 関与なし(対象大学)
- Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting
日本大学: 関与なし(対象大学)
- Multi-View Randomized Kernel Classification via Nonconvex Optimization
日本大学: 関与なし(対象大学)
- MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships
日本大学: 関与なし(対象大学)
- Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
日本大学: 関与なし(対象大学)
- Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation
日本大学: 関与なし(対象大学)
- Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction
日本大学: 関与なし(対象大学)
- Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
日本大学: 関与なし(対象大学)
- Multimodal Graph Neural Architecture Search under Distribution Shifts
日本大学: 関与なし(対象大学)