Papers
Collaborative PAC Learning
Avrim Blum, Nika Haghtalab, Ariel D Procaccia et al.
Collaborative Rating Allocation
Yali Du, Chang Xu, Dacheng Tao
Collaborative Summarization of Topic-Related Videos
Rameswar Panda, Amit K. Roy-Chowdhury
Collapsed variational Bayes for Markov jump processes
Boqian Zhang, Jiangwei Pan, Vinayak A Rao
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
Kai Zheng, Wenlong Mou, Liwei Wang
Collecting Telemetry Data Privately
Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin
Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations
Siddharth Mayya, Pietro Pierpaoli, Girish Nair et al.
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson, Michael Maire, Gregory Shakhnarovich
Combating Human Trafficking with Multimodal Deep Models
Edmund Tong, Amir Zadeh, Cara Jones et al.
Combinatorial Topic Models using Small-Variance Asymptotics
Ke Jiang, Suvrit Sra, Brian Kulis
Combined Group and Exclusive Sparsity for Deep Neural Networks
Jaehong Yoon, Sung Ju Hwang
Combined Multi-Channel NMF-Based Robust Beamforming for Noisy Speech Recognition
Masato Mimura, Yoshiaki Bando, Kazuki Shimada et al.
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation
Anirban Roy, Sinisa Todorovic
Combining DL-Lite_{bool}^N with Branching Time: A gentle Marriage
Víctor Gutiérrez-Basulto, Jean Christoph Jung
Combining Gaussian Mixture Models and Segmental Feature Models for Speaker Recognition
Milana Milošević, Ulrike Glavitsch
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition
Yong Jiang, Wenjuan Han, Kewei Tu
Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification
Jin Wang, Zhongyuan Wang, Dawei Zhang et al.
Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising
Yiping Jin, Dittaya Wanvarie, Phu Le
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar, Karol Hausman, Marvin Zhang et al.
Combining Models from Multiple Sources for RGB-D Scene Recognition
Xinhang Song, Shuqiang Jiang, Luis Herranz
Combining Residual Networks with LSTMs for Lipreading
Themos Stafylakis, Georgios Tzimiropoulos
Combining Speaker Turn Embedding and Incremental Structure Prediction for Low-Latency Speaker Diarization
Guillaume Wisniewksi, Hervé Bredin, G. Gelly et al.
Committee Scoring Rules: A Call to Arms
Piotr Faliszewski
Commonly Uncommon: Semantic Sparsity in Situation Recognition
Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer et al.
Common Round: Application of Language Technologies to Large-Scale Web Debates
Hans Uszkoreit, Aleksandra Gabryszak, Leonhard Hennig et al.