Conferences · eligible papers
AAAI
2021–2025 確定版
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。
- Hyperbolic Graph Diffusion Model
日本大学: 関与なし(対象大学)
- Hypercorrelation Evolution for Video Class-Incremental Learning
日本大学: 関与なし(対象大学)
- Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
日本大学: 関与なし(対象大学)
- Hypergraph Neural Architecture Search
日本大学: 関与なし(対象大学)
- Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition
日本大学: 関与なし(対象大学)
- Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues
日本大学: 関与なし(対象大学)
- Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning
日本大学: 関与なし(対象大学)
- ICAR: Image-Based Complementary Auto Reasoning
日本大学: 関与なし(対象大学)
- IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity
日本大学: 関与なし(対象大学)
- IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching
日本大学: 関与なし(対象大学)
- INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems
日本大学: 関与なし(対象大学)
- IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples
日本大学: 関与なし(対象大学)
- IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking
日本大学: 関与なし(対象大学)
- IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning
日本大学: 関与なし(対象大学)
- IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
日本大学: 関与なし(対象大学)
- ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
日本大学: 関与なし(対象大学)
- IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
日本大学: 関与なし(対象大学)
- IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
日本大学: 関与なし(対象大学)
- Identifiability of Direct Effects from Summary Causal Graphs
日本大学: 関与なし(対象大学)
- Identification for Tree-Shaped Structural Causal Models in Polynomial Time
日本大学: 関与なし(対象大学)
- Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
日本大学: 関与なし(対象大学)
- Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
日本大学: 関与なし(対象大学)
- Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching
日本大学: 関与なし(対象大学)
- Image Captioning with Multi-Context Synthetic Data
日本大学: 関与なし(対象大学)
- Image Content Generation with Causal Reasoning
日本大学: 関与なし(対象大学)
- Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually
日本大学: 関与なし(対象大学)
- Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network
日本大学: 関与なし(対象大学)
- Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
日本大学: 関与なし(対象大学)
- Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
日本大学: 関与なし(対象大学)
- Imitation of Life: A Search Engine for Biologically Inspired Design
日本大学: 関与なし(対象大学)
- Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
日本大学: 関与なし(対象大学)
- Implications of Distance over Redistricting Maps: Central and Outlier Maps
日本大学: 関与なし(対象大学)
- Implicit Modeling of Non-rigid Objects with Cross-Category Signals
日本大学: 関与なし(対象大学)
- Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks
日本大学: 関与なし(対象大学)
- Improved Anonymous Multi-Agent Path Finding Algorithm
日本大学: 関与なし(対象大学)
- Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility
日本大学: 関与なし(対象大学)
- Improved Graph Contrastive Learning for Short Text Classification
日本大学: 関与なし(対象大学)
- Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding
日本大学: 関与なし(対象大学)
- Improved Metric Distortion via Threshold Approvals
日本大学: 関与なし(対象大学)
- Improving Audio-Visual Segmentation with Bidirectional Generation
日本大学: 関与なし(対象大学)
- Improving Automatic VQA Evaluation Using Large Language Models
日本大学: 関与なし(対象大学)
- Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning
日本大学: 関与なし(対象大学)
- Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction
日本大学: 関与なし(対象大学)
- Improving Distinguishability of Class for Graph Neural Networks
日本大学: 関与なし(対象大学)
- Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
日本大学: 関与なし(対象大学)
- Improving Factual Error Correction by Learning to Inject Factual Errors
日本大学: 関与なし(対象大学)
- Improving GNN Calibration with Discriminative Ability: Insights and Strategies
日本大学: 関与なし(対象大学)
- Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
日本大学: 関与なし(対象大学)
- Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting
日本大学: 関与なし(対象大学)
- Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge
日本大学: 関与なし(対象大学)
- Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge
日本大学: 関与なし(対象大学)
- Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
日本大学: 関与なし(対象大学)
- Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation
日本大学: 関与なし(対象大学)
- Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields
日本大学: 関与なし(対象大学)
- Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation
日本大学: 関与なし(対象大学)
- Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
日本大学: 関与なし(対象大学)
- Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
日本大学: 関与なし(対象大学)
- In-Hand 3D Object Reconstruction from a Monocular RGB Video
日本大学: 関与なし(対象大学)
- Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
日本大学: 関与なし(対象大学)
- Inconsistency-Based Data-Centric Active Open-Set Annotation
日本大学: 関与なし(対象大学)
- Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
日本大学: 関与なし(対象大学)
- Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion
日本大学: 関与なし(対象大学)
- Independency Adversarial Learning for Cross-Modal Sound Separation
日本大学: 関与なし(対象大学)
- Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data
日本大学: 関与なし(対象大学)
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs
日本大学: 関与なし(対象大学)
- Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy
日本大学: 関与なし(対象大学)
- Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation
日本大学: 関与なし(対象大学)
- Influential Exemplar Replay for Incremental Learning in Recommender Systems
日本大学: 関与なし(対象大学)
- Information Design for Congestion Games with Unknown Demand
日本大学: 関与なし(対象大学)
- Input Margins Can Predict Generalization Too
日本大学: 関与なし(対象大学)
- Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks
日本大学: 関与なし(対象大学)
- Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning
日本大学: 関与なし(対象大学)
- Instance-Conditional Timescales of Decay for Non-Stationary Learning
日本大学: 関与なし(対象大学)
- InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions
日本大学: 東北大学
- Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
日本大学: 関与なし(対象大学)
- Integer Is Enough: When Vertical Federated Learning Meets Rounding
日本大学: 関与なし(対象大学)
- Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision
日本大学: 関与なし(対象大学)
- Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process
日本大学: 関与なし(対象大学)
- Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution
日本大学: 関与なし(対象大学)
- Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
日本大学: 関与なし(対象大学)
- Interactive Visual Task Learning for Robots
日本大学: 関与なし(対象大学)
- InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning
日本大学: 関与なし(対象大学)
- Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds
日本大学: 関与なし(対象大学)
- Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
日本大学: 関与なし(対象大学)
- Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
日本大学: 関与なし(対象大学)
- Intrinsic Phase-Preserving Networks for Depth Super Resolution
日本大学: 関与なし(対象大学)
- Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
日本大学: 関与なし(対象大学)
- Inverse Weight-Balancing for Deep Long-Tailed Learning
日本大学: 関与なし(対象大学)
- Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
日本大学: 関与なし(対象大学)
- Is a Large Language Model a Good Annotator for Event Extraction?
日本大学: 関与なし(対象大学)
- Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
日本大学: 関与なし(対象大学)
- Iterative Token Evaluation and Refinement for Real-World Super-resolution
日本大学: 関与なし(対象大学)
- Joint Demosaicing and Denoising for Spike Camera
日本大学: 関与なし(対象大学)
- Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
日本大学: 関与なし(対象大学)
- Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
日本大学: 関与なし(対象大学)
- Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
日本大学: 関与なし(対象大学)
- Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
日本大学: 関与なし(対象大学)
- KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning
日本大学: 関与なし(対象大学)
- KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem
日本大学: 関与なし(対象大学)
- KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
日本大学: 関与なし(対象大学)