Papers
Contrastive Laplacian Eigenmaps
Hao Zhu, Ke Sun, Peter Koniusz
Contrastive Learning for Neural Topic Model
Thong Nguyen, Anh Tuan Luu
Contrastive Learning of Global and Local Video Representations
shuang ma, Zhaoyang Zeng, Daniel McDuff et al.
Contrastively Disentangled Sequential Variational Autoencoder
Junwen Bai, Weiran Wang, Carla P. Gomes
Contrastive Reinforcement Learning of Symbolic Reasoning Domains
Gabriel Poesia, WenXin Dong, Noah Goodman
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie, Arash Vahdat, Anima Anandkumar
Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar, Eric Malmi, Aliaksei Severyn et al.
Controlling Neural Networks with Rule Representations
Sungyong Seo, Sercan Arik, Jinsung Yoon et al.
Control Variates for Slate Off-Policy Evaluation
Nikos Vlassis, Ashok Chandrashekar, Fernando Amat et al.
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
Ganlin Song, Ruitu Xu, John D. Lafferty
Convergence of adaptive algorithms for constrained weakly convex optimization
Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Hongjian Wang, Mert Gurbuzbalaban, Lingjiong Zhu et al.
Convex-Concave Min-Max Stackelberg Games
Denizalp Goktas, Amy Greenwald
Convex Polytope Trees
Mohammadreza Armandpour, Ali Sadeghian, Mingyuan Zhou
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Sheng Liu, Xiao Li, Yuexiang Zhai et al.
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris et al.
Coordinated Proximal Policy Optimization
Zifan Wu, Chao Yu, Deheng Ye et al.
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
Shuang Ao, Tianyi Zhou, Guodong Long et al.
Coresets for Classification – Simplified and Strengthened
Tung Mai, Cameron Musco, Anup Rao
Coresets for Clustering with Missing Values
Vladimir Braverman, Shaofeng Jiang, Robert Krauthgamer et al.
Coresets for Decision Trees of Signals
Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan I Newman et al.
Coresets for Time Series Clustering
Lingxiao Huang, K Sudhir, Nisheeth Vishnoi
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Racz, Anirudh Sridhar
Corruption Robust Active Learning
Yifang Chen, Simon S Du, Kevin G. Jamieson
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
Leo Lebrat, Rodrigo Santa Cruz, Frederic de Gournay et al.