Papers
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
Shun Zheng, Jialei Wang, Fen Xia et al.
A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds
Irene Kaltenmark, Benjamin Charlier, Nicolas Charon
A General Framework for Robust Interactive Learning
Ehsan Emamjomeh-Zadeh, David Kempe
A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning
Honglun Zhang, Liqiang Xiao, Yongkun Wang et al.
A General Multi-agent Epistemic Planner Based on Higher-order Belief Change
Xiao Huang, Biqing Fang, Hai Wan et al.
A General Notion of Equivalence for Abstract Argumentation
Ringo Baumann, Wolfgang Dvořák, Thomas Linsbichler et al.
A Generative Attentional Neural Network Model for Dialogue Act Classification
Quan Hung Tran, Gholamreza Haffari, Ingrid Zukerman
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking
Lu Sheng, Jianfei Cai, Tat-Jen Cham et al.
A Generative Model for Score Normalization in Speaker Recognition
Albert Swart, Niko Brümmer
A Generative Model of People in Clothing
Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler
A Generative Parser with a Discriminative Recognition Algorithm
Jianpeng Cheng, Adam Lopez, Mirella Lapata
A generic approach to planning in the presence of incomplete information: Theory and implementation (Extended Abstract)
Son Thanh To, Tran Cao Son, Enrico Pontelli
A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing
Qingnan Fan, Jiaolong Yang, Gang Hua et al.
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning
Lu Chen, Xiang Zhou, Cheng Chang et al.
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization
Kuo-Hao Zeng, Shih-Han Chou, Fu-Hsiang Chan et al.
Agent Design Consistency Checking via Planning
Nitin Yadav, John Thangarajah, Sebastian Sardina
A Geometric Framework for Statistical Analysis of Trajectories With Distinct Temporal Spans
Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru et al.
Age Progression/Regression by Conditional Adversarial Autoencoder
Zhifei Zhang, Yang Song, Hairong Qi
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross Girshick, Piotr Dollar et al.
Aggregating and Predicting Sequence Labels from Crowd Annotations
An Thanh Nguyen, Byron Wallace, Junyi Jessy Li et al.
Aggregating Crowd Wisdoms with Label-aware Autoencoders
Li'ang Yin, Jianhua Han, Weinan Zhang et al.
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control
Paul Drews, Grady Williams, Brian Goldfain et al.
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
Bikash Joshi, Massih R. Amini, Ioannis Partalas et al.
Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos
Aniket Bera, Tanmay Randhavane, Dinesh Manocha