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Publication search results
found 1,428 matches
- 2019
- Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi:
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations. NeurIPS 2019: 14668-14679 - Rong Ge, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli:
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares. NeurIPS 2019: 14951-14962 - Ravi Kumar, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
Efficient Rematerialization for Deep Networks. NeurIPS 2019: 15146-15155 - Juncheng Li, Shuhui Qu, Xinjian Li, Joseph Szurley, J. Zico Kolter, Florian Metze:
Adversarial Music: Real world Audio Adversary against Wake-word Detection System. NeurIPS 2019: 11908-11918 - Gautam Kamath, Or Sheffet, Vikrant Singhal, Jonathan R. Ullman:
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians. NeurIPS 2019: 168-180 - Pedro Mercado, Francesco Tudisco, Matthias Hein:
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs. NeurIPS 2019: 14848-14857 - Chris Russell, Matteo Toso, Neill D. F. Campbell:
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions. NeurIPS 2019: 1474-1484 - Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice, Fabio Vitale:
Correlation Clustering with Adaptive Similarity Queries. NeurIPS 2019: 12510-12519 - Radu Marinescu, Rina Dechter:
Counting the Optimal Solutions in Graphical Models. NeurIPS 2019: 12091-12101 - Song Liu, Takafumi Kanamori, Wittawat Jitkrittum, Yu Chen:
Fisher Efficient Inference of Intractable Models. NeurIPS 2019: 8790-8800 - Aviv Rosenberg, Yishay Mansour:
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function. NeurIPS 2019: 2209-2218 - Srinath Sridhar, Davis Rempe, Julien Valentin, Sofien Bouaziz, Leonidas J. Guibas:
Multiview Aggregation for Learning Category-Specific Shape Reconstruction. NeurIPS 2019: 2348-2359 - Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. NeurIPS 2019: 3000-3010 - Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon:
Learning Neural Networks with Adaptive Regularization. NeurIPS 2019: 11389-11400 - Wenhao Zhang, Si Wu, Brent Doiron, Tai Sing Lee:
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits. NeurIPS 2019: 3799-3808 - Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang:
Curvilinear Distance Metric Learning. NeurIPS 2019: 4225-4234 - Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Jieping Ye:
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response. NeurIPS 2019: 7013-7023 - Shuang Li, Gongguo Tang, Michael B. Wakin:
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. NeurIPS 2019: 3502-3512 - Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
Unified Language Model Pre-training for Natural Language Understanding and Generation. NeurIPS 2019: 13042-13054 - Shuai Zheng, Ziyue Huang, James T. Kwok:
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback. NeurIPS 2019: 11446-11456 - Christopher Thomas, Adriana Kovashka:
Predicting the Politics of an Image Using Webly Supervised Data. NeurIPS 2019: 3625-3637 - Pan Li, I (Eli) Chien, Olgica Milenkovic:
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection. NeurIPS 2019: 11705-11716 - Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Structured Graph Learning Via Laplacian Spectral Constraints. NeurIPS 2019: 11647-11658 - Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Zachary Pitkow, Andreas S. Tolias:
Learning from brains how to regularize machines. NeurIPS 2019: 9525-9535 - Shuai Zhang, Yi Tay, Lina Yao, Qi Liu:
Quaternion Knowledge Graph Embeddings. NeurIPS 2019: 2731-2741 - Zhen Zhang, Yijian Xiang, Lingfei Wu, Bing Xue, Arye Nehorai:
KerGM: Kernelized Graph Matching. NeurIPS 2019: 3330-3341 - Jian Sun, Zongben Xu:
Neural Diffusion Distance for Image Segmentation. NeurIPS 2019: 1441-1451 - Rui Zhang, Hanghang Tong:
Robust Principal Component Analysis with Adaptive Neighbors. NeurIPS 2019: 6959-6967 - Yu Sun, Jiaming Liu, Ulugbek Kamilov:
Block Coordinate Regularization by Denoising. NeurIPS 2019: 380-390 - Peng Chen, Keyi Wu, Joshua Chen, Tom O'Leary-Roseberry, Omar Ghattas:
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions. NeurIPS 2019: 15104-15113
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