Title
Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis Sergio Cofre-Martel E. Droguett M. Modarres AI4CE 13 2 0 10 Jun 2020
Learning to Incentivize Other Learning Agents Jiachen Yang Ang Li Mehrdad Farajtabar P. Sunehag Edward Hughes H. Zha 100 70 0 10 Jun 2020
Physics informed deep learning for computational elastodynamics without labeled data Chengping Rao Hao Sun Yang Liu PINN AI4CE 94 227 0 10 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... Matthieu Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 92 226 0 10 Jun 2020
Neural Methods for Point-wise Dependency Estimation Yao-Hung Hubert Tsai Han Zhao M. Yamada Louis-Philippe Morency Ruslan Salakhutdinov 95 33 0 09 Jun 2020
Tamil Vowel Recognition With Augmented MNIST-like Data Set Muthiah Annamalai VLM 43 0 0 09 Jun 2020
Adversarial Infidelity Learning for Model Interpretation Jian Liang Bing Bai Yuren Cao Kun Bai Fei Wang AAML 103 18 0 09 Jun 2020
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction Eli Simhayev Gilad Katz Lior Rokach OOD 51 12 0 09 Jun 2020
Physics Informed Deep Kernel Learning Ziyi Wang Wei W. Xing Robert M. Kirby Shandian Zhe PINN 73 10 0 08 Jun 2020
Multi-Fidelity High-Order Gaussian Processes for Physical Simulation Zheng Wang Wei W. Xing Robert M. Kirby Shandian Zhe AI4CE 15 0 0 08 Jun 2020
Learning compositional models of robot skills for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 103 110 0 08 Jun 2020
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation Debesh Jha Michael A. Riegler Dag Johansen Pål Halvorsen Haavard D. Johansen SSeg 64 607 0 08 Jun 2020
The Penalty Imposed by Ablated Data Augmentation Frederick Liu A. Najmi Mukund Sundararajan 56 6 0 08 Jun 2020
Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation Xiaobin Wei Jianjiang Feng Jie Zhou MDE 31 2 0 08 Jun 2020
How useful is Active Learning for Image-based Plant Phenotyping? Koushik Nagasubramanian Talukder Z. Jubery Fateme Fotouhi Ardakani S. Mirnezami Asheesh K. Singh Arti Singh Soumik Sarkar Baskar Ganapathysubramanian VLM 66 18 0 07 Jun 2020
Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data Steven Atkinson 42 8 0 07 Jun 2020
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation Davide Buffelli Fabio Vandin HAI 49 44 0 06 Jun 2020
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement Xin Liu Josh Fromm Shwetak N. Patel Daniel J. McDuff 73 269 0 06 Jun 2020
sEMG Gesture Recognition with a Simple Model of Attention David Josephs Carson Drake Andrew Heroy John Santerre 64 48 0 05 Jun 2020
LDP-Fed: Federated Learning with Local Differential Privacy Stacey Truex Ling Liu Ka-Ho Chow Mehmet Emre Gursoy Wenqi Wei FedML 97 402 0 05 Jun 2020
Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training Hongyu Zhu Amar Phanishayee Gennady Pekhimenko 145 50 0 05 Jun 2020
Discovering Parametric Activation Functions G. Bingham Risto Miikkulainen ODL 74 73 0 05 Jun 2020
Fast CRDNN: Towards on Site Training of Mobile Construction Machines Yusheng Xiang Tian Tang Tianqing Su Christine Brach Libo Liu Samuel S. Mao M. Geimer 29 18 0 04 Jun 2020
A Linear Algebraic Approach to Model Parallelism in Deep Learning Russell J. Hewett Thomas J. Grady FedML 47 16 0 04 Jun 2020
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference Haichen Shen Jared Roesch Zhi Chen Wei Chen Yong Wu Mu Li Vin Sharma Zachary Tatlock Yida Wang 59 57 0 04 Jun 2020
Enhanced back-translation for low resource neural machine translation using self-training Idris Abdulmumin B. Galadanci Abubakar Isa SyDa 38 2 0 04 Jun 2020
Asymptotic Analysis of Conditioned Stochastic Gradient Descent Rémi Leluc Franccois Portier 88 4 0 04 Jun 2020
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up A. Gujarati Reza Karimi Safya Alzayat Wei Hao Antoine Kaufmann Ymir Vigfusson Jonathan Mace 115 284 0 03 Jun 2020
On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs Matilde Gargiani Andrea Zanelli Moritz Diehl Frank Hutter ODL 78 18 0 03 Jun 2020
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion Lixiang Ru Bo Du Chen Wu 105 72 0 03 Jun 2020
A Scalable and Cloud-Native Hyperparameter Tuning System Johnu George Ce Gao Richard Liu Hou Gang Liu Yuan Tang Ramdoot Pydipaty Amit Kumar Saha 17 13 0 03 Jun 2020
A mathematical model for automatic differentiation in machine learning Jérôme Bolte Edouard Pauwels 82 68 0 03 Jun 2020
Deep learning-based reduced order models in cardiac electrophysiology S. Fresca Andrea Manzoni Luca Dede' A. Quarteroni 63 68 0 02 Jun 2020
AnalogNet: Convolutional Neural Network Inference on Analog Focal Plane Sensor Processors Matthew Z. Wong Benoît Guillard Riku Murai Sajad Saeedi Paul H. J. Kelly 33 15 0 02 Jun 2020
Interpretable Meta-Measure for Model Performance Alicja Gosiewska Katarzyna Wo'znica P. Biecek 53 5 0 02 Jun 2020
Real-time Earthquake Early Warning with Deep Learning: Application to the 2016 Central Apennines, Italy Earthquake Sequence Xiong Zhang Miao Zhang X. Tian AI4Cl 21 42 0 02 Jun 2020
Artificial neural networks for neuroscientists: A primer G. R. Yang Xiao-Jing Wang 107 255 0 01 Jun 2020
A nonlocal physics-informed deep learning framework using the peridynamic differential operator E. Haghighat A. Bekar E. Madenci R. Juanes PINN 59 107 0 31 May 2020
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation Ange Lou Shuyue Guan Murray H. Loew SSeg 63 187 0 31 May 2020
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs Weimin Zhou Sayantan Bhadra F. Brooks Hua Li M. Anastasio MedIm 41 5 0 29 May 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey Wiebke Toussaint Aaron Yi Ding LRM 79 0 0 29 May 2020
HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism Jay H. Park Gyeongchan Yun Chang Yi N. T. Nguyen Seungmin Lee Jaesik Choi S. Noh Young-ri Choi MoE 89 134 0 28 May 2020
General-Purpose User Embeddings based on Mobile App Usage Junqi Zhang Bing Bai Ye Lin Jian Liang Kun Bai Fei Wang 75 38 0 27 May 2020
Bayesian Stress Testing of Models in a Classification Hierarchy Bashar Awwad Shiekh Hasan Kate Kelly 13 1 0 25 May 2020
Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation Sijie Zhu Taojiannan Yang Chong Chen 64 61 0 23 May 2020
Machine Learning in the Internet of Things for Industry 4.0 T. Szydlo Joanna Sendorek R. Brzoza-Woch Mateusz Windak 13 0 0 22 May 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties J. Lindinger David Reeb C. Lippert Barbara Rakitsch BDL UQCV 74 8 0 22 May 2020
Accelerated Convergence for Counterfactual Learning to Rank R. Jagerman Maarten de Rijke BDL OffRL 24 13 0 21 May 2020
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges D. Charte F. Charte M. J. D. Jesus Francisco Herrera SSL OOD 145 51 0 21 May 2020
Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition Shiliang Zhang Zhifu Gao Haoneng Luo Ming Lei Jie Ying Gao Zhijie Yan Lei Xie 64 29 0 21 May 2020