Paper Papers
5,546 papers found • Page 4 of 111
A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis
Chuanqi Tao, Jiaming Li, Tianzi Zang et al.
A Multi-Sensor Approach for Cognitive Load Assessment in Mobile Augmented Reality
Martin Pluisch, Jan Gugenheimer, Youngjun Cho et al.
An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation
Jesse Heyninck
AnalogCoder: Analog Circuit Design via Training-Free Code Generation
Yao Lai, Sungyoung Lee, Guojin Chen et al.
An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships
Spencer Killen, Jia-Huai You, Jesse Heyninck
Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling
Shiluo Huang, Yining Jin, Wei Jin et al.
An And-Sum Circuit with Signed Edges That Is More Succinct than SDD
Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection
Bin Pu, Liwen Wang, Jiewen Yang et al.
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types
Hao Dong, Zheyuan Shi, Hemeng Zeng et al.
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
Chenqi Li, Boyan Gao, Gabriel Davis Jones et al.
Anchor Learning with Potential Cluster Constraints for Multi-view Clustering
Yawei Chen, Huibing Wang, Jinjia Peng et al.
Anchor Search: A Unified Framework for Suboptimal Bidirectional Search
Sepehr Lavasani, Lior Siag, Shahaf S. Shperberg et al.
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing
Lei Li, Haochen Yang, Jiacheng Guo et al.
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques
Chunxiao Li, Xiaoxiao Wang, Boming Miao et al.
An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem
Baiyu Chen, Junwen Ding, Canhui Luo et al.
An Embodied AR Navigation Agent: Integrating BIM with Retrieval-Augmented Generation for Language Guidance
Hsuan-Kung Yang, Tsu-Ching Hsiao, Ryoichiro Oka et al.
An Empirical Evaluation of How Virtual Hand Visibility Affects Near-Field Size Perception and Reporting of Tangible Objects in Virtual Reality
Chandni Murmu, Rohith Venkatakrishnan, Roshan Venkatakrishnan et al.
An Enhanced Levenberg--Marquardt Method via Gram Reduction
Chengchang Liu, Luo Luo, John C.S. Lui
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency
Yuqi Liang, Jun Luo, Xiaoxi Guo et al.
An Evaluation of Movement Data Analysis Techniques for Virtual Reality
Alice Guth, Jessica J Good, Eugy Han et al.
A New Adversarial Perspective for LiDAR-based 3D Object Detection
Shijun Zheng, Weiquan Liu, Yu Guo et al.
A New Federated Learning Framework Against Gradient Inversion Attacks
Pengxin Guo, Shuang Zeng, Wenhao Chen et al.
A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation
Bingbing Wang, Yiming Du, Bin Liang et al.
An Exemplar-based Framework for Chinese Text Recognition
Zhao Zhou, Xiangcheng Du, Yingbin Zheng et al.
An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation
Lars Bengel, Giovanni Buraglio, Jan Maly et al.
AniDream: Generating Skeleton-Guided Anime Avatars from Text Prompts
Fernanda Miyuki Yamada, Hiroki Takahashi
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
Dou Hu, Lingwei Wei, Wei Zhou et al.
An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control
Aosong Feng, Weikang Qiu, Jinbin Bai et al.
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems
Haoxiang Tian, Xingshuo Han, Guoquan Wu et al.
A No Free Lunch Theorem for Human-AI Collaboration
Kenny Peng, Nikhil Garg, Jon Kleinberg
An Open-Ended Learning Framework for Opponent Modeling
Yuheng Jing, Kai Li, Bingyun Liu et al.
An Open Testbed for Mixed Reality Precise Rotation Guidance: Comparative case study of Arrow, Gestalt and Magnifier Cues
Mine Dastan, Fabio Vangi, Francesco Musolino et al.
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning
Fengjiiao Gong, Angxiao Yue, Hongteng Xu
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset
Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.
Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases
Gianluca Cima, Marco Console, Roberto Maria Delfino et al.
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models
Li Zheng, Liangbin Xie, Jiantao Zhou et al.
AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation
Yu Wang, Yunfei Liu, Fa-Ting Hong et al.
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
Thomy Phan, Benran Zhang, Shao-Hung Chan et al.
Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation
Xie Tianyidan, Rui Ma, Qian Wang et al.
AoP-SAM: Automation of Prompts for Efficient Segmentation
Yi Chen, Muyoung Son, Chuanbo Hua et al.
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang et al.
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft
Yu Chen, Shuai Zheng, Nianyi Wang et al.
APIRL: Deep Reinforcement Learning for REST API Fuzzing
Myles Foley, Sergio Maffeis
APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty
Yue Jian, Xiangyu Luo, Zhifei Li et al.
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
Qingmei Wang, Yuxin Wu, Yujie Long et al.
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
Tianyi Yin, Jingwei Wang, Yunlong Ma et al.
Application of Transitional Mixed Reality Interfaces: A Co-design Study with Flood-prone Communities
Zhiling Jie, Geert Lugtenberg, Renjie Zhang et al.
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
Yifan Lin, Enlu Zhou
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
Yuang Cai, Yuyu Yuan, Jinsheng Shi et al.
Approximate State Abstraction for Markov Games
Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki