Papers
20,003 papers found
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance
Lipu Zhou, Yi Yang, Montiel Abello et al.
Artificial Counselor System for Stock Investment
Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand et al.
Artificial Intelligence Competencies for Data Science Undergraduate Curricula
Andrea Danyluk, Scott Buck
A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples
Curtis Bright, Dragomir Ž. Ðoković, Ilias Kotsireas et al.
A Sequential Set Generation Method for Predicting Set-Valued Outputs
Tian Gao, Jie Chen, Vijil Chenthamarakshan et al.
A Study of Educational Data Mining: Evidence from a Thai University
Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
Ehsan Kazemi, Liqiang Wang
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems
Pengfei Wang, Risheng Liu, Nenggan Zheng et al.
A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation
Su Wang, Rahul Gupta, Nancy Chang et al.
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI
Risheng Liu, Yuxi Zhang, Shichao Cheng et al.
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway et al.
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
Penghui Wei, Wenji Mao, Guandan Chen
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade et al.
Attacking Data Transforming Learners at Training Time
Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson et al.
Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition
Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation
Tao Hu, Pengwan Yang, Chiliang Zhang et al.
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Shengnan Guo, Youfang Lin, Ning Feng et al.
Attentive Temporal Pyramid Network for Dynamic Scene Classification
Yuanjun Huang, Xianbin Cao, Xiantong Zhen et al.
Attentive Tensor Product Learning
Qiuyuan Huang, Li Deng, Dapeng Wu et al.
A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem
Junwen Ding, Zhipeng Lü, Chu-Min Li et al.
A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels
Shaobo Min, Xuejin Chen, Zheng-Jun Zha et al.
Augmenting Markov Decision Processes with Advising
Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib