Papers
Acquisition and Assessment of Semantic Content for the Generation of Elaborateness and Indirectness in Spoken Dialogue Systems
Louisa Pragst, Koichiro Yoshino, Wolfgang Minker et al.
Action Centered Contextual Bandits
Kristjan Greenewald, Ambuj Tewari, Susan Murphy et al.
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo et al.
Action Tubelet Detector for Spatio-Temporal Action Localization
Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari et al.
Action Unit Detection With Region Adaptation, Multi-Labeling Learning and Optimal Temporal Fusing
Wei Li, Farnaz Abtahi, Zhigang Zhu
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
Rohit Girdhar, Deva Ramanan, Abhinav Gupta et al.
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
Haw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon, Junmo Kim
Active Decision Boundary Annotation With Deep Generative Models
Miriam Huijser, Jan C. van Gemert
Active Exploration for Learning Symbolic Representations
Garrett Andersen, George Konidaris
Active Heteroscedastic Regression
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
Active Incremental Learning of Robot Movement Primitives
Guilherme Maeda, Marco Ewerton, Takayuki Osa et al.
Active Learning for Accurate Estimation of Linear Models
Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric
Active Learning for Black-Box Semantic Role Labeling with Neural Factors
Chenguang Wang, Laura Chiticariu, Yunyao Li
Active Learning for Cost-Sensitive Classification
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang et al.
Active Learning for Human Pose Estimation
Buyu Liu, Vittorio Ferrari
Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons
Soheil Mohajer, Changho Suh, Adel Elmahdy
Active Learning from Peers
Keerthiram Murugesan, Jaime Carbonell
Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications
Aniruddha Bhargava, Ravi Ganti, Rob Nowak
Active Preference-Based Learning of Reward Functions
Dorsa Sadigh, Anca Dragan, Shankar Sastry et al.
Active Sentiment Domain Adaptation
Fangzhao Wu, Yongfeng Huang, Jun Yan
Active-set Methods for Submodular Minimization Problems
K. S. Sesh Kumar, Francis Bach
AdaGAN: Boosting Generative Models
Ilya O Tolstikhin, Sylvain Gelly, Olivier Bousquet et al.
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov et al.