Papers
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 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.
Adaptive Manifold Regularized Matrix Factorization for Data Clustering
Lefei Zhang, Qian Zhang, Bo Du et al.
Adaptive Multichannel Dereverberation for Automatic Speech Recognition
Joe Caroselli, Izhak Shafran, Arun Narayanan et al.
Adaptive Multiple-Arm Identification
Jiecao Chen, Xi Chen, Qin Zhang et al.
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang, Ofer Dekel et al.
Adaptive Randomized Dimension Reduction on Massive Data
Gregory Darnell, Stoyan Georgiev, Sayan Mukherjee et al.
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
Zheng Xu, Mario A. T. Figueiredo, Xiaoming Yuan et al.
Adaptive Sampling Probabilities for Non-Smooth Optimization
Hongseok Namkoong, Aman Sinha, Steve Yadlowsky et al.
Adaptive Sampling Scheme for Learning in Severely Imbalanced Large Scale Data
Wei Zhang, Said Kobeissi, Scott Tomko et al.
Adaptive Semantic Compositionality for Sentence Modelling
Pengfei Liu, Xipeng Qiu, Xuanjing Huang
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression
Minnan Luo, Lingling Zhang, Feiping Nie et al.
Adaptive stimulus selection for optimizing neural population responses
Benjamin Cowley, Ryan Williamson, Katerina Clemens et al.