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9786 papers in Statistics
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TITLE
DATE
VIEWS
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
By Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan · ArXiv: 1906.03999
2019-06-11
0
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots
By Adrien Laversanne-Finot, Alex, re Pere · ArXiv: 1906.03967
2019-06-11
1
Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks
By Xiangrui Li, Jasmine Hect, Moriah Thomason · ArXiv: 1906.03691
2019-06-11
0
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples
By Dufan Wu, Kuang Gong, Kyungsang Kim · ArXiv: 1906.03639
2019-06-11
1
Deep Music Analogy Via Latent Representation Disentanglement
By Ruihan Yang, Dingsu Wang, Ziyu Wang · ArXiv: 1906.03626
2019-10-22
0
Region of Attraction for Power Systems using Gaussian Process and Converse Lyapunov Function -- Part I: Theoretical Framework and Off-line Study
By Chao Zhai, Hung D. Nguyen · ArXiv: 1906.03590
2024-09-23
1
Convolutional Bipartite Attractor Networks
By Michael Iuzzolino, Yoram Singer, Michael C. Mozer · ArXiv: 1906.03504
2019-09-30
0
Understanding Generalization through Visualizations
By W. Ronny Huang, Zeyad Emam, Micah Goldblum · ArXiv: 1906.03291
2021-11-17
0
Towards Sharp Analysis for Distributed Learning with Random Features
By Jian Li, Yong Liu, Weiping Wang · ArXiv: 1906.03155
2023-08-30
0
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach
By Ognjen Rudovic, Meiru Zhang, Bjorn Schuller · ArXiv: 1906.03098
2019-06-10
1
FASTER: Fusion AnalyticS for public Transport Event Response
By Sebastien Bl, in, Laura Wynter · ArXiv: 1906.03040
2024-09-23
0
Selfie: Self-supervised Pretraining for Image Embedding
By Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le · ArXiv: 1906.02940
2019-07-30
0
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks
By Wei Wen, Feng Yan, Yiran Chen · ArXiv: 1906.02909
2020-06-17
1
Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images
By Yizhe Zhang, Michael T. C. Ying, Danny Z. Chen · ArXiv: 1906.02901
2019-06-10
2
Worst-Case Regret Bounds for Exploration via Randomized Value Functions
By Daniel Russo · ArXiv: 1906.02870
2024-09-23
0
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
By Yiqiu Shen, Nan Wu, Jason Phang · ArXiv: 1906.02846
2019-08-21
0
Robust Attacks against Multiple Classifiers
By Juan C. Perdomo, Yaron Singer · ArXiv: 1906.02816
2019-06-10
0
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
By Ari S. Morcos, Haonan Yu, Michela Paganini · ArXiv: 1906.02773
2019-10-29
0
Near Neighbor: Who is the Fairest of Them All?
By Sariel Har-Peled, Sepideh Mahabadi · ArXiv: 1906.02640
2019-11-25
0
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
By Abubakar Abid, Ali Abdalla, Ali Abid · ArXiv: 1906.02569
2019-06-07
1
Using anomaly detection to support classification of fast running (packaging) processes
By Tilman Klaeger, Andre Schult, Lukas Oehm · ArXiv: 1906.02473
2024-09-23
1
Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences
By Payam Siyari, Bistra Dilkina, Constantine Dovrolis · ArXiv: 1906.02446
2019-06-07
0
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
By Debraj Basu, Deepesh Data, Can Karakus · ArXiv: 1906.02367
2019-11-05
0
Improved low-count quantitative PET reconstruction with an iterative neural network
By Hongki Lim, Il Yong Chun, Yuni K. Dewaraja · ArXiv: 1906.02327
2020-05-27
1
Uncertainty-based graph convolutional networks for organ segmentation refinement
By Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni · ArXiv: 1906.02191
2020-08-25
0
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations
By David Calhas, Enrique Romero, Rui Henriques · ArXiv: 1906.02076
2019-09-09
0
Last-iterate convergence rates for min-max optimization
By Jacob Abernethy, Kevin A. Lai, Andre Wibisono · ArXiv: 1906.02027
2019-10-29
1
Machine Learning and System Identification for Estimation in Physical Systems
By Fredrik Bagge Carlson · ArXiv: 1906.02003
2024-09-23
0
The Computational Structure of Unintentional Meaning
By Mark K. Ho, Joanna Korman, Thomas L. Griffiths · ArXiv: 1906.01983
2019-06-06
1
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning
By S, eep Madireddy, Angel Yanguas-Gil · ArXiv: 1906.01668
2019-11-12
0