Papers
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim et al.
Continuous DR-submodular Maximization: Structure and Algorithms
An Bian, Kfir Levy, Andreas Krause et al.
Contrastive Learning for Image Captioning
Bo Dai, Dahua Lin
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie, Zihang Dai, Yulun Du et al.
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Yuanzhi Li, Yang Yuan
Convergence of Gradient EM on Multi-component Mixture of Gaussians
Bowei Yan, Mingzhang Yin, Purnamrita Sarkar
Convergence rates of a partition based Bayesian multivariate density estimation method
Linxi Liu, Dangna Li, Wing Hung Wong
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
Ziming Zhang, Matthew Brand
Convolutional Gaussian Processes
Mark van der Wilk, Carl Edward Rasmussen, James Hensman
Convolutional Phase Retrieval
Qing Qu, Yuqian Zhang, Yonina Eldar et al.
Cortical microcircuits as gated-recurrent neural networks
Rui Costa, Ioannis Alexandros Assael, Brendan Shillingford et al.
Cost efficient gradient boosting
Sven Peter, Ferran Diego, Fred A. Hamprecht et al.
Counterfactual Fairness
Matt J Kusner, Joshua Loftus, Chris Russell et al.
Countering Feedback Delays in Multi-Agent Learning
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos et al.
Cross-Spectral Factor Analysis
Neil Gallagher, Kyle R Ulrich, Austin Talbot et al.
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
Rowan McAllister, Carl Edward Rasmussen
Deanonymization in the Bitcoin P2P Network
Giulia Fanti, Pramod Viswanath
Decoding with Value Networks for Neural Machine Translation
Di He, Hanqing Lu, Yingce Xia et al.
Decomposable Submodular Function Minimization: Discrete and Continuous
Alina Ene, Huy Nguyen, László A. Végh
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search
Mohammad Ali Bashiri, Xinhua Zhang
Deconvolutional Paragraph Representation Learning
Yizhe Zhang, Dinghan Shen, Guoyin Wang et al.
Decoupling "when to update" from "how to update"
Eran Malach, Shai Shalev-Shwartz
Deep Dynamic Poisson Factorization Model
Chengyue Gong, win-bin huang
Deep Hyperalignment
Muhammad Yousefnezhad, Daoqiang Zhang
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li et al.