Papers
Amalgamating Multi-Task Models with Heterogeneous Architectures
Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong et al.
AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion
Beibei Jing, Youjia Zhang, Zikai Song et al.
AMD: Autoregressive Motion Diffusion
Bo Han, Hao Peng, Minjing Dong et al.
Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion
Bowen Zhang, Qing Liu, Jianming Zhang et al.
A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning
Neil Thompson, Martin Fleming, Benny J. Tang et al.
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract)
Liu Yu, Fenghui Tian, Ping Kuang et al.
AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
Jingchun Zhou, Zongxin He, Kin-Man Lam et al.
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
Yongkang Wang, Xuan Liu, Feng Huang et al.
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition
Mengmeng Wang, Jiazheng Xing, Boyuan Jiang et al.
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach
Yangdi Jiang, Yi Liu, Xiaodong Yan et al.
Analytically Tractable Models for Decision Making under Present Bias
Yasunori Akagi, Naoki Marumo, Takeshi Kurashima
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang, Haoran Han, Maolong Lv et al.
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 Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms
Helen Zhang, Irene Lee, Katherine Moore
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
Min Cao, Yang Bai, Ziyin Zeng et al.