Papers
450 papers found
$D^2$: Decentralized Training over Decentralized Data
Hanlin Tang, Xiangru Lian, Ming Yan et al.
Model-Level Dual Learning
Yingce Xia, Xu Tan, Fei Tian et al.
Demystifying Dropout
Hongchang Gao, Jian Pei, Heng Huang
Per-Decision Option Discounting
Anna Harutyunyan, Peter Vrancx, Philippe Hamel et al.
Deep Factors for Forecasting
Yuyang Wang, Alex Smola, Danielle Maddix et al.
Deep Compressed Sensing
Yan Wu, Mihaela Rosca, Timothy Lillicrap
Decoupled Greedy Learning of CNNs
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Deep Divergence Learning
Hatice Kubra Cilingir, Rachel Manzelli, Brian Kulis
Predicting deliberative outcomes
Vikas Garg, Tommi Jaakkola
Deep Streaming Label Learning
Zhen Wang, Liu Liu, Dacheng Tao
Integrated Defense for Resilient Graph Matching
Jiaxiang Ren, Zijie Zhang, Jiayin Jin et al.
Deep Latent Graph Matching
Tianshu Yu, Runzhong Wang, Junchi Yan et al.
Batched Dueling Bandits
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
Deep Causal Metric Learning
Xiang Deng, Zhongfei Zhang
In defense of dual-encoders for neural ranking
Aditya Menon, Sadeep Jayasumana, Ankit Singh Rawat et al.
Demystifying the Adversarial Robustness of Random Transformation Defenses
Chawin Sitawarin, Zachary J Golan-Strieb, David Wagner
Demystifying Disagreement-on-the-Line in High Dimensions
Donghwan Lee, Behrad Moniri, Xinmeng Huang et al.
Deep Regression Unlearning
Ayush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal et al.
Learning to Decouple Complex Systems
Zihan Zhou, Tianshu Yu
Deep Learning at Alibaba
Rong Jin
Demystifying Neural Style Transfer
Yanghao Li, Naiyan Wang, Jiaying Liu et al.
Doubly Sparsifying Network
Zhangyang Wang, Shuai Huang, Jiayu Zhou et al.
Deep Multi-species Embedding
Di Chen, Yexiang Xue, Daniel Fink et al.
Thwarting Vote Buying Through Decoy Ballots
David C. Parkes, Paul Tylkin, Lirong Xia
Deceptive Path-Planning
Peta Masters, Sebastian Sardina