Papers
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
Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies
Lena Gorelick, Yuri Boykov, Olga Veksler
Adaptive Batch Size for Safe Policy Gradients
Matteo Papini, Matteo Pirotta, Marcello Restelli
Adaptive Bayesian Sampling with Monte Carlo EM
Anirban Roychowdhury, Srinivasan Parthasarathy
Adaptive Classification for Prediction Under a Budget
Feng Nan, Venkatesh Saligrama
Adaptive Class Preserving Representation for Image Classification
Jian-Xun Mi, Qiankun Fu, Weisheng Li
Adaptive Clustering through Semidefinite Programming
Martin Royer
Adaptive Consensus ADMM for Distributed Optimization
Zheng Xu, Gavin Taylor, Hao Li et al.
Adaptive Elicitation of Preferences under Uncertainty in Sequential Decision Making Problems
Nawal Benabbou, Patrice Perny
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
Satyen Kale, Zohar Karnin, Tengyuan Liang et al.
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Adaptive Group Sparse Multi-task Learning via Trace Lasso
Sulin Liu, Sinno Jialin Pan
Adaptive Hypergraph Learning for Unsupervised Feature Selection
Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang et al.
Adaptive Information Gathering via Imitation Learning
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade et al.
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks
Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura
Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval
Liang Zhang, Bingpeng Ma, Jianfeng He et al.