Papers
8,127 papers found
Context Attentive Bandits: Contextual Bandit with Restricted Context
Djallel Bouneffouf, Irina Rish, Guillermo Cecchi et al.
Context-aware Path Ranking for Knowledge Base Completion
Sahisnu Mazumder, Bing Liu
Context-Based Reasoning on Privacy in Internet of Things
Nadin Kokciyan, Pinar Yolum
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data
Stan Zhao, Meng Jiang, Quan Yuan et al.
Contextual Covariance Matrix Adaptation Evolutionary Strategies
Abbas Abdolmaleki, Bob Price, Nuno Lau et al.
Contract Design for Energy Demand Response
Reshef Meir, Hongyao Ma, Valentin Robu
Convergence and Quality of Iterative Voting Under Non-Scoring Rules
Aaron Koolyk, Tyrone Strangway, Omer Lev et al.
Convolutional 2D LDA for Nonlinear Dimensionality Reduction
Qi Wang, Zequn Qin, Feiping Nie et al.
Convolutional-Match Networks for Question Answering
Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank et al.
Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits
Mithun Chakraborty, Kai Yee Phoebe Chua, Sanmay Das et al.
Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals
Kazunori Ohta, Nathanaël Barrot, Anisse Ismaili et al.
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces
Yanan Sui, Joel W. Burdick
Cost-Effective Active Learning from Diverse Labelers
Sheng-Jun Huang, Jia-Lve Chen, Xin Mu et al.
Count-Based Exploration in Feature Space for Reinforcement Learning
Jarryd Martin, Suraj Narayanan S., Tom Everitt et al.
Cross-Domain Recommendation: An Embedding and Mapping Approach
Tong Man, Huawei Shen, Xiaolong Jin et al.
Cross-Granularity Graph Inference for Semantic Video Object Segmentation
Huiling Wang, Tinghuai Wang, Ke Chen et al.
Cross-modal Common Representation Learning by Hybrid Transfer Network
Xin Huang, Yuxin Peng, Mingkuan Yuan
Crowd Learning: Improving Online Decision Making Using Crowdsourced Data
Yang Liu, Mingyan Liu
Curriculum Learning in Reinforcement Learning
Sanmit Narvekar
Data-driven Random Fourier Features using Stein Effect
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang et al.
DDoS Event Forecasting using Twitter Data
Zhongqing Wang, Yue Zhang
Deceptive Path-Planning
Peta Masters, Sebastian Sardina
Decreasing Uncertainty in Planning with State Prediction
Senka Krivic, Michael Cashmore, Daniele Magazzeni et al.
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang et al.