Statistics
9687 papers in Statistics
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TITLE
DATE
VIEWS
OmniFold: A Method to Simultaneously Unfold All Observables
By Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev · ArXiv: 1911.09107
2020-05-13
1
Symbolic Formulae for Linear Mixed Models
By Emi Tanaka, Francis K. C. Hui · ArXiv: 1911.08628
2020-01-23
0
Multi-domain Conversation Quality Evaluation via User Satisfaction Estimation
By Praveen Kumar Bodigutla, Lazaros Polymenakos, Spyros Matsoukas · ArXiv: 1911.08567
2019-11-21
1
The Design and Implementation of a Scalable DL Benchmarking Platform
By Cheng Li, Abdul Dakkak, Jinjun Xiong · ArXiv: 1911.08031
2021-08-23
0
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
By Qian Wang, Toby P. Breckon · ArXiv: 1911.07982
2019-11-20
1
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)
By Cheng Li, Abdul Dakkak, Jinjun Xiong · ArXiv: 1911.07967
2021-03-02
0
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework
By Efe Bozkir, Ali Burak "Unal, Mete Akg"un · ArXiv: 1911.07936
2021-07-14
0
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
By Tharindu Fern, o, Clinton Fookes · ArXiv: 1911.07844
2019-11-20
0
ImmuNeCS: Neural Committee Search by an Artificial Immune System
By Luc Frachon, Wei Pang, George M. Coghill · ArXiv: 1911.07729
2020-10-26
0
Variational mean-field theory for training restricted Boltzmann machines with binary synapses
By Haiping Huang · ArXiv: 1911.07662
2020-09-09
0
Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning
By Ahmed Ben Said, Abdelkarim Erradi · ArXiv: 1911.07625
2019-11-19
0
Spectral Geometric Matrix Completion
By Amit Boyarski, Sanketh Vedula, Alex Bronstein · ArXiv: 1911.07255
2021-06-08
0
Hebbian Synaptic Modifications in Spiking Neurons that Learn
By Peter L. Bartlett, Jonathan Baxter · ArXiv: 1911.07247
2019-11-19
0
Benanza: Automatic $mu$Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
By Cheng Li, Abdul Dakkak, Jinjun Xiong · ArXiv: 1911.06922
2020-06-04
0
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
By Kevin Sebastian Luck, Heni Ben Amor, Roberto Cal · ArXiv: 1911.06832
2019-11-19
0
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility
By Rohit Kaushik, Shikhar Jain, Siddhant Jain · ArXiv: 1911.06704
2021-08-18
2
ASCAI: Adaptive Sampling for acquiring Compact AI
By Mojan Javaheripi, Mohammad Samragh, Tara Javidi · ArXiv: 1911.06471
2019-11-18
0
On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
By Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen · ArXiv: 1911.06217
2019-11-18
0
Privacy and Utility Preserving Sensor-Data Transformations
By Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro · ArXiv: 1911.05996
2019-11-15
1
Adversarial Margin Maximization Networks
By Ziang Yan, Yiwen Guo, Changshui Zhang · ArXiv: 1911.05916
2019-11-15
0
Recent Advances in Algorithmic High-Dimensional Robust Statistics
By Ilias Diakonikolas, Daniel M. Kane · ArXiv: 1911.05911
2019-11-15
0
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
By Yizhen Dong, Peixin Zhang, Jingyi Wang · ArXiv: 1911.05904
2019-11-15
1
Modeling patterns of smartphone usage and their relationship to cognitive health
By Jonas Rauber, Emily B. Fox, Leon A. Gatys · ArXiv: 1911.05683
2019-11-14
0
Online detection of cascading change-points
By Rui Zhang, Yao Xie, Rui Yao · ArXiv: 1911.05610
2021-02-09
0
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes
By Dipan K. Pal, Akshay Chawla, Marios Savvides · ArXiv: 1911.05266
2020-08-17
0
What Do Compressed Deep Neural Networks Forget?
By Sara Hooker, Aaron Courville, Gregory Clark · ArXiv: 1911.05248
2021-09-07
0
92c/MFlops/s, Ultra-Large-Scale Neural-Network Training on a PIII Cluster
By Douglas Aberdeen, Jonathan Baxter, Robert Edwards · ArXiv: 1911.05181
2019-11-14
0
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
By Yabo Dan, Yong Zhao, Xiang Li · ArXiv: 1911.05020
2020-06-30
0
Markov chains in random environment with applications in queueing theory and machine learning
By Attila Lovas, Miklos Rasonyi · ArXiv: 1911.04377
2020-12-04
0