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。
- Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks
日本大学: 関与なし(対象大学)
- Plug-In Diffusion Model for Sequential Recommendation
日本大学: 関与なし(対象大学)
- PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation
日本大学: 関与なし(対象大学)
- Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
日本大学: 関与なし(対象大学)
- Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection
日本大学: 関与なし(対象大学)
- Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis
日本大学: 関与なし(対象大学)
- Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
日本大学: 関与なし(対象大学)
- Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
日本大学: 関与なし(対象大学)
- Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification
日本大学: 関与なし(対象大学)
- Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition
日本大学: 関与なし(対象大学)
- PointAttN: You Only Need Attention for Point Cloud Completion
日本大学: 関与なし(対象大学)
- PointPatchMix: Point Cloud Mixing with Patch Scoring
日本大学: 関与なし(対象大学)
- Polyper: Boundary Sensitive Polyp Segmentation
日本大学: 関与なし(対象大学)
- PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
日本大学: 関与なし(対象大学)
- PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF
日本大学: 関与なし(対象大学)
- Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks
日本大学: 関与なし(対象大学)
- PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
日本大学: 関与なし(対象大学)
- Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning
日本大学: 関与なし(対象大学)
- PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation
日本大学: 関与なし(対象大学)
- Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation
日本大学: 関与なし(対象大学)
- Preference Ranking Optimization for Human Alignment
日本大学: 関与なし(対象大学)
- Preparing Lessons for Progressive Training on Language Models
日本大学: 関与なし(対象大学)
- Primitive-Based 3D Human-Object Interaction Modelling and Programming
日本大学: 関与なし(対象大学)
- Principal-Agent Reward Shaping in MDPs
日本大学: 関与なし(対象大学)
- Principle Component Trees and Their Persistent Homology
日本大学: 関与なし(対象大学)
- Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring
日本大学: 関与なし(対象大学)
- Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions
日本大学: 関与なし(対象大学)
- Privileged Prior Information Distillation for Image Matting
日本大学: 関与なし(対象大学)
- ProAgent: Building Proactive Cooperative Agents with Large Language Models
日本大学: 関与なし(対象大学)
- ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning
日本大学: 関与なし(対象大学)
- Probabilistic Neural Circuits
日本大学: 関与なし(対象大学)
- Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
日本大学: 関与なし(対象大学)
- Probabilities of Causation with Nonbinary Treatment and Effect
日本大学: 関与なし(対象大学)
- Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation
日本大学: 関与なし(対象大学)
- Procedural Level Generation with Diffusion Models from a Single Example
日本大学: 関与なし(対象大学)
- Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion
日本大学: 関与なし(対象大学)
- Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation
日本大学: 関与なし(対象大学)
- Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation
日本大学: 関与なし(対象大学)
- Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles
日本大学: 関与なし(対象大学)
- Progressive Poisoned Data Isolation for Training-Time Backdoor Defense
日本大学: 関与なし(対象大学)
- Progressive Text-to-Image Diffusion with Soft Latent Direction
日本大学: 関与なし(対象大学)
- Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process
日本大学: 関与なし(対象大学)
- Project-Fair and Truthful Mechanisms for Budget Aggregation
日本大学: 関与なし(対象大学)
- Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning
日本大学: 関与なし(対象大学)
- Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation
日本大学: 関与なし(対象大学)
- PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
日本大学: 関与なし(対象大学)
- Prompting Multi-Modal Image Segmentation with Semantic Grouping
日本大学: 関与なし(対象大学)
- Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer
日本大学: 関与なし(対象大学)
- Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
日本大学: 関与なし(対象大学)
- Proportional Aggregation of Preferences for Sequential Decision Making
日本大学: 関与なし(対象大学)
- Proportional Representation in Metric Spaces and Low-Distortion Committee Selection
日本大学: 関与なし(対象大学)
- Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers
日本大学: 関与なし(対象大学)
- Protect Your Score: Contact-Tracing with Differential Privacy Guarantees
日本大学: 関与なし(対象大学)
- Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
日本大学: 関与なし(対象大学)
- Provably Convergent Federated Trilevel Learning
日本大学: 関与なし(対象大学)
- Provably Powerful Graph Neural Networks for Directed Multigraphs
日本大学: 関与なし(対象大学)
- ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection
日本大学: 関与なし(対象大学)
- Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens
日本大学: 関与なし(対象大学)
- Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment
日本大学: 関与なし(対象大学)
- Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention
日本大学: 関与なし(対象大学)
- QAGait: Revisit Gait Recognition from a Quality Perspective
日本大学: 関与なし(対象大学)
- QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
日本大学: 東京大学
- QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos
日本大学: 関与なし(対象大学)
- QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification
日本大学: 関与なし(対象大学)
- QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning
日本大学: 関与なし(対象大学)
- QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis
日本大学: 関与なし(対象大学)
- Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning
日本大学: 関与なし(対象大学)
- Quality-Diversity Generative Sampling for Learning with Synthetic Data
日本大学: 関与なし(対象大学)
- Quantifying and Analyzing Entity-Level Memorization in Large Language Models
日本大学: 関与なし(対象大学)
- Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation
日本大学: 関与なし(対象大学)
- Quantum-Inspired Neural Network with Runge-Kutta Method
日本大学: 関与なし(対象大学)
- QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters
日本大学: 関与なし(対象大学)
- Question Calibration and Multi-Hop Modeling for Temporal Question Answering
日本大学: 関与なし(対象大学)
- R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion
日本大学: 関与なし(対象大学)
- READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
日本大学: 関与なし(対象大学)
- REGLO: Provable Neural Network Repair for Global Robustness Properties
日本大学: 関与なし(対象大学)
- REPrune: Channel Pruning via Kernel Representative Selection
日本大学: 関与なし(対象大学)
- RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks
日本大学: 関与なし(対象大学)
- RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
日本大学: 関与なし(対象大学)
- RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing
日本大学: 関与なし(対象大学)
- RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving
日本大学: 関与なし(対象大学)
- ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
日本大学: 関与なし(対象大学)
- RPSC: Robust Pseudo-Labeling for Semantic Clustering
日本大学: 関与なし(対象大学)
- RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection
日本大学: 関与なし(対象大学)
- RRL: Recommendation Reverse Learning
日本大学: 関与なし(対象大学)
- RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation
日本大学: 関与なし(対象大学)
- Racing Control Variable Genetic Programming for Symbolic Regression
日本大学: 関与なし(対象大学)
- RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
日本大学: 関与なし(対象大学)
- RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation
日本大学: 関与なし(対象大学)
- Rating-Based Reinforcement Learning
日本大学: 関与なし(対象大学)
- ReGCL: Rethinking Message Passing in Graph Contrastive Learning
日本大学: 関与なし(対象大学)
- Reachability of Fair Allocations via Sequential Exchanges
- Real3D: The Curious Case of Neural Scene Degeneration
日本大学: 関与なし(対象大学)
- Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
日本大学: 関与なし(対象大学)
- Recasting Regional Lighting for Shadow Removal
日本大学: 関与なし(対象大学)
- Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera
日本大学: 関与なし(対象大学)
- Reconciling Predictive and Statistical Parity: A Causal Approach
日本大学: 関与なし(対象大学)
- Rectangle Search: An Anytime Beam Search
日本大学: 関与なし(対象大学)
- Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic
日本大学: 関与なし(対象大学)
- Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
日本大学: 関与なし(対象大学)