Papers
Commonsense Knowledge Mining from Pretrained Models
Joe Davison, Joshua Feldman, Alexander Rush
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie et al.
Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning on Robots
Tiago Mota, Mohan Sridharan
Communication and Memory Efficient Testing of Discrete Distributions
Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane et al.
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
Jayadev Acharya, Ziteng Sun
Communication-Constrained Inference and the Role of Shared Randomness
Jayadev Acharya, Clement Canonne, Himanshu Tyagi
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Shuai Zheng, Ziyue Huang, James Kwok
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
Jun Sun, Tianyi Chen, Georgios Giannakis et al.
Communication-efficient Distributed SGD with Sketching
Nikita Ivkin, Daniel Rothchild, Enayat Ullah et al.
Communication-Efficient Stochastic Gradient MCMC for Neural Networks
Chunyuan Li, Changyou Chen, Yunchen Pu et al.
Communication-Optimal Distributed Dynamic Graph Clustering
Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam et al.
Communication trade-offs for Local-SGD with large step size
Aymeric Dieuleveut, Kumar Kshitij Patel
Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion
Junming Shao, Zhong Zhang, Zhongjing Yu et al.
Community Detection in Social Networks Considering Topic Correlations
Yingkui Wang, Di Jin, Katarzyna Musial et al.
Community Focusing: Yet Another Query-Dependent Community Detection
Zhuo Wang, Weiping Wang, Chaokun Wang et al.
Community lexical access for an endangered polysynthetic language: An electronic dictionary for St. Lawrence Island Yupik
Benjamin Hunt, Emily Chen, Sylvia L.R. Schreiner et al.
Compact and Robust Models for Japanese-English Character-level Machine Translation
Jinan Dai, Kazunori Yamaguchi
Compact Feature Learning for Multi-Domain Image Classification
Yajing Liu, Xinmei Tian, Ya Li et al.
Compacting, Picking and Growing for Unforgetting Continual Learning
Ching-Yi Hung, Cheng-Hao Tu, Cheng-En Wu et al.
Compact Representation of Value Function in Partially Observable Stochastic Games
Karel Horák, Branislav Bošanský, Christopher Kiekintveld et al.
Compact Trilinear Interaction for Visual Question Answering
Tuong Do, Thanh-Toan Do, Huy Tran et al.
Comparative Analysis of Prosodic Characteristics Using WaveNet Embeddings
Antti Suni, Marcin Włodarczak, Martti Vainio et al.
Comparative Analysis of Think-Aloud Methods for Everyday Activities in the Context of Cognitive Robotics
Moritz Meier, Celeste Mason, Felix Putze et al.
Comparative Document Summarisation via Classification
Umanga Bista, Alexander Mathews, Minjeong Shin et al.
Comparative judgments are more consistent than binary classification for labelling word complexity
Sian Gooding, Ekaterina Kochmar, Advait Sarkar et al.