Paper Papers
5,964 papers found • Page 77 of 120
Conference
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
Shengju Yu, Siwei Wang, Zhibin Dong et al.
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.
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
Francois HU, Philipp Ratz, Arthur Charpentier
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
Jihong Ouyang, Zhiyao Yang, Silong Liang et al.