Papers
8,127 papers found
Human-Centric Justification of Machine Learning Predictions
Or Biran, Kathleen McKeown
Human-Like Agents for Repeated Negotiation
Johnathan Mell
Hybrid Neural Networks for Learning the Trend in Time Series
Tao Lin, Tian Guo, Karl Aberer
Identifying Human Mobility via Trajectory Embeddings
Qiang Gao, Fan Zhou, Kunpeng Zhang et al.
I-dual: Solving Constrained SSPs via Heuristic Search in the Dual Space
Felipe Trevizan, Sylvie Thiebaux, Pedro Santana et al.
Image-embodied Knowledge Representation Learning
Ruobing Xie, Zhiyuan Liu, Huanbo Luan et al.
Image Matching via Loopy RNN
Donghao Luo, Bingbing Ni, Yichao Yan et al.
Importance-Aware Semantic Segmentation for Autonomous Driving System
Bi-ke Chen, Chen Gong, Jian Yang
Improved Bounded Matrix Completion for Large-Scale Recommender Systems
Huang Fang, Zhang Zhen, Yiqun Shao et al.
Improved Deep Embedded Clustering with Local Structure Preservation
Xifeng Guo, Long Gao, Xinwang Liu et al.
Improved Neural Machine Translation with Source Syntax
Shuangzhi Wu, Ming Zhou, Dongdong Zhang
Improved Strong Worst-case Upper Bounds for MDP Planning
Anchit Gupta, Shivaram Kalyanakrishnan
Improving Classification Accuracy of Feedforward Neural Networks for Spiking Neuromorphic Chips
Antonio Jimeno Yepes, Jianbin Tang, Benjamin Scott Mashford
Improving Learning-from-Crowds through Expert Validation
Mengchen Liu, Liu Jiang, Junlin Liu et al.
Improving Reinforcement Learning with Confidence-Based Demonstrations
Zhaodong Wang, Matthew E. Taylor
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic
Maoying Qiao, Jun Yu, Wei Bian et al.
Improving the Generalization Performance of Multi-class SVM via Angular Regularization
Jianxin Li, Haoyi Zhou, Pengtao Xie et al.
Incomplete Attribute Learning with auxiliary labels
Kongming Liang, Yuhong Guo, Hong Chang et al.
Incomplete Label Distribution Learning
Miao Xu, Zhi-Hua Zhou
Incremental Decision Making Under Risk with the Weighted Expected Utility Model
Hugo Gilbert, Nawal Benabbou, Patrice Perny et al.
Incremental Matrix Factorization: A Linear Feature Transformation Perspective
Xunpeng Huang, Le Wu, Enhong Chen et al.
Induction of Interpretable Possibilistic Logic Theories from Relational Data
Ondrej Kuzelka, Jesse Davis, Steven Schockaert
Inferring Human Attention by Learning Latent Intentions
Ping Wei, Dan Xie, Nanning Zheng et al.