AAAI Papers

An Approximate Skolem Function Counter

Arijit Shaw, Brendan Juba, Kuldeep S Meel

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

Yehjin Shin, Jeongwhan Choi, Hyowon Wi et al.

An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction

Urchade Zaratiana, Nadi Tomeh, Pierre Holat et al.

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

Zhixiang Su, Di Wang, Chunyan Miao et al.

An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes

Amar Shah, Federico Mora, Sanjit A. Seshia

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning

Yang YU, Danruo Deng, Furui Liu et al.

An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization

Yuze Tan, Hecheng Cai, Shudong Huang et al.

An Effective Polynomial Technique for Compiling Conditional Effects Away

Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain

Xiang He, Dongcheng Zhao, Yang Li et al.

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs

Wei Zhou, Hong Huang, Ruize Shi et al.

An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment

Zhixue Fang, Xinrong Guo, Jingyin Lin et al.

An Empirical Study of CLIP for Text-Based Person Search

Cao Min, Yang Bai, ziyin Zeng et al.

A New Benchmark and Model for Challenging Image Manipulation Detection

Zhenfei Zhang, Mingyang Li, Ming-Ching Chang

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning

Dongxiao He, Jitao Zhao, Cuiying Huo et al.

An Exercise in Tournament Design: When Some Matches Must Be Scheduled

Sushmita Gupta, Ramanujan Sridharan, Peter Strulo

Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios

Yuxin Wang, Zunlei Feng, Haofei Zhang et al.

An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning

Zhe Zhang, Xiaoyang Tan

An Information-Flow Perspective on Algorithmic Fairness

Samuel Teuber, Bernhard Beckert

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations

Lulu Cao, Yufei Liu, Zhenzhong Wang et al.

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

Teng Hu, Jiangning Zhang, Ran Yi et al.

AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.

A Non-parametric Graph Clustering Framework for Multi-View Data

An Optimal Transport View for Subspace Clustering and Spectral Clustering

Yuguang Yan, Zhihao Xu, Canlin Yang et al.

Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding

Yichi Zhang, Zhihao Duan, Ming Lu et al.

A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis

Tianshuo Peng, Zuchao Li, Ping Wang et al.

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images

Qingping Zheng, Yuanfan Guo, Jiankang Deng et al.

Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching

Zhaohuai Liang, Changhe Li

Any-Way Meta Learning

JunHoo Lee, Yearim Kim, Hyunho Lee et al.

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning

Yinmin Zhang, Jie Liu, Chuming Li et al.

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation

Angxiao Yue, Dixin Luo, Hongteng Xu

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling

Ye Wang, Huazheng Pan, Tao Zhang et al.

Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain

Niclas Boehmer, Markus Brill, Alfonso Cevallos et al.

Approximate Distance Oracle for Fault-Tolerant Geometric Spanners

Kyungjin Cho, Jihun Shin, Eunjin Oh

Approximate Integer Solution Counts over Linear Arithmetic Constraints

Cunjing Ge

Approximating the Shapley Value without Marginal Contributions

Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik et al.

Approximation Algorithms for Preference Aggregation Using CP-Nets

Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles

Approximation Scheme for Weighted Metric Clustering via Sherali-Adams

Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev et al.

A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields

Yiyu Zhuang, Qi Zhang, Xuan Wang et al.

A Primal-Dual Algorithm for Hybrid Federated Learning

Tom Overman, Garrett Blum, Diego Klabjan

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression

Agniva Chowdhury, Pradeep Ramuhalli

Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning

Hang Du, Xuejun Yan, Jingjing Wang et al.

Arbitrary-Scale Video Super-resolution Guided by Dynamic Context

Cong Huang, jiahao Li, Lei Chu et al.

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation

Gaoge Han, Shaoli Huang, Mingming Gong et al.

Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning

Yi Cheng, Renjun Hu, Haochao Ying et al.

A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency

Hao Zhang, Xuhui Zuo, Huabing Zhou et al.

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank

Zhanjie Zhang, Quanwei Zhang, Wei Xing et al.

A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions

Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs et al.

A Separation and Alignment Framework for Black-Box Domain Adaptation

Mingxuan Xia, Junbo Zhao, Gengyu Lyu et al.