Papers
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon, Junmo Kim
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 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.
Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation
Tatiana Lopez-Guevara, Nicholas K Taylor, Michael U Gutmann et al.
ADAPT at IJCNLP-2017 Task 4: A Multinomial Naive Bayes Classification Approach for Customer Feedback Analysis task
Pintu Lohar, Koel Dutta Chowdhury, Haithem Afli et al.
ADAPT Centre Cone Team at IJCNLP-2017 Task 5: A Similarity-Based Logistic Regression Approach to Multi-choice Question Answering in an Examinations Shared Task
Daria Dzendzik, Alberto Poncelas, Carl Vogel et al.
Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report
Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths
Adapting Kernel Representations Online Using Submodular Maximization
Matthew Schlegel, Yangchen Pan, Jiecao Chen et al.
Adapting Sequence Models for Sentence Correction
Allen Schmaltz, Yoon Kim, Alexander Rush et al.
Adapting Topic Models using Lexical Associations with Tree Priors
Weiwei Yang, Jordan Boyd-Graber, Philip Resnik
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition
Mingrui Liu, Tianbao Yang
Adaptive Active Hypothesis Testing under Limited Information
Fabio Cecchi, Nidhi Hegde
Adaptive ADMM with Spectral Penalty Parameter Selection
Zheng Xu, Mario Figueiredo, Tom Goldstein