Title
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 41 6 0 07 Dec 2022
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments Christian Bitter Timo Thun Tobias Meisen 36 1 0 01 Dec 2022
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models Qiong Wu Jian Li Zhenming Liu Jun Luo Mihai Cucuringu 36 4 0 01 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 37 13 0 01 Dec 2022
Neural networks: solving the chemistry of the interstellar medium Lorenzo Branca Andrea Pallottini 30 7 0 28 Nov 2022
Graph Neural Networks for Breast Cancer Data Integration Teodora Reu 32 1 0 28 Nov 2022
Machine Learning Methods for Anomaly Detection in Nuclear Power Plant Power Transformers I. Katser D. Raspopov Vyacheslav O. Kozitsin M. Mezhov 25 1 0 20 Nov 2022
Using explainability to design physics-aware CNNs for solving subsurface inverse problems J. Crocker Krishna Kumar B. Cox 22 9 0 16 Nov 2022
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve Jacob De Nobel Anna V. Kononova J. Briaire J. Frijns Thomas Bäck 18 4 0 14 Nov 2022
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts Patrik Hammersborg Inga Strümke 25 5 0 10 Nov 2022
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation Rostyslav-Mykola Tsenov Christopher J. Henry J. Storie C. Storie Brent Murray Mikhail Sokolov 27 2 0 07 Nov 2022
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 37 1 0 07 Nov 2022
A Deep Double Ritz Method (D $^2$ RM) for solving Partial Differential Equations using Neural Networks C. Uriarte David Pardo I. Muga J. Muñoz‐Matute 49 18 0 07 Nov 2022
MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma E. Kerfoot ... Klaus H. Maier-Hein S. Aylward Prerna Dogra Sebastien Ourselin Andrew Feng 65 486 0 04 Nov 2022
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems Shaan Bijwadia Shuo-yiin Chang Yue Liu Tara N. Sainath Chaoyang Zhang Yanzhang He 47 7 0 01 Nov 2022
Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation Jiangbin Zheng Siyuan Li Cheng Tan Chong Wu Yidong Chen Stan Z. Li SLR 37 7 0 01 Nov 2022
Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkit Hongji Wang Che-Yuan Liang Shuai Wang Zhengyang Chen Binbin Zhang Xu Xiang Yan Deng Y. Qian 35 118 0 31 Oct 2022
SleepMore: Inferring Sleep Duration at Scale via Multi-Device WiFi Sensing Camellia Zakaria Gizem Yilmaz P. Mammen Michael Chee Prashant J. Shenoy R. Balan 16 4 0 24 Oct 2022
Graphemic Normalization of the Perso-Arabic Script R. Doctor Alexander Gutkin Cibu Johny Brian Roark R. Sproat 46 4 0 21 Oct 2022
Robust Imitation via Mirror Descent Inverse Reinforcement Learning Dong-Sig Han Hyunseok Kim Hyun-Dong Lee Je-hwan Ryu Byoung-Tak Zhang 33 2 0 20 Oct 2022
What Makes Convolutional Models Great on Long Sequence Modeling? Yuhong Li Tianle Cai Yi Zhang De-huai Chen Debadeepta Dey VLM 39 96 0 17 Oct 2022
ParaDime: A Framework for Parametric Dimensionality Reduction A. Hinterreiter Christina Humer Bernhard Kainz M. Streit 35 5 0 10 Oct 2022
Network Intrusion Detection System in a Light Bulb Liam Daly Manocchio S. Layeghy Marius Portmann 27 9 0 06 Oct 2022
Vertical Semi-Federated Learning for Efficient Online Advertising Wenjie Li Qiaolin Xia Hao Cheng Kouying Xue Shutao Xia FedML 50 14 0 30 Sep 2022
Generalized Fiducial Inference on Differentiable Manifolds Alexander C. Murph Jan Hannig Jonathan P. Williams 13 2 0 30 Sep 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks Y. Mao L. Sha Huajie Shao Yuliang Gu Qixin Wang Tarek Abdelzaher PINN AI4CE 42 1 0 27 Sep 2022
A Deep Learning Approach to Analyzing Continuous-Time Systems Cory Shain William Schuler 30 3 0 25 Sep 2022
Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval Kei Suzuki Chihiro Tsutake Keita Takahashi T. Fujii 26 3 0 21 Sep 2022
Differentiable Bilevel Programming for Stackelberg Congestion Games Jiayang Li Jiahao Yu Qianni Wang Boyi Liu Zhaoran Wang Y. Nie 33 14 0 15 Sep 2022
Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN H. X. Nguyen Shaoshu Zhu Mingming Liu 24 7 0 06 Sep 2022
PulseDL-II: A System-on-Chip Neural Network Accelerator for Timing and Energy Extraction of Nuclear Detector Signals P. Ai Z. Deng Yi Wang H. Gong Xinchi Ran Z. Lang 23 2 0 02 Sep 2022
Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method Mrinal Haloi Shashank Shekhar Nikhil Fande Siddhant Swaroop Dash G. Sanjay 21 3 0 31 Aug 2022
"Task-relevant autoencoding" enhances machine learning for human neuroscience Seyedmehdi Orouji V. Taschereau-Dumouchel A. Cortese Brian Odegaard Cody Cushing Mouslim Cherkaoui Mitsuo Kawato Hakwan Lau Megan A. K. Peters 11 1 0 17 Aug 2022
SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters Zhuqing Liu Xin Zhang Jia-Wei Liu 43 1 0 17 Aug 2022
Representation learning of rare temporal conditions for travel time prediction N. Petersen Filipe Rodrigues Francisco Câmara Pereira AI4TS 26 1 0 09 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 57 8 0 02 Aug 2022
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity Nikolaos N. Vlassis WaiChing Sun AI4CE 37 33 0 30 Jul 2022
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX Xia Chen Xiangbin Teng Hannah S. Chen Yafeng Pan Philipp Geyer 34 44 0 15 Jul 2022
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition Thejan Rajapakshe R. Rana Sara Khalifa Bjorn W. Schuller 26 0 0 07 Jul 2022
A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems S. Pourtakdoust Amir H. Khodabakhsh 36 12 0 05 Jul 2022
The Deep Ritz Method for Parametric $p$ -Dirichlet Problems A. Kaltenbach Marius Zeinhofer 27 3 0 05 Jul 2022
Rapid training of quantum recurrent neural networks M. Siemaszko A. Buraczewski Bertrand Le Saux Magdalena Stobiñska 32 9 0 01 Jul 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming Bo Tang Elias Boutros Khalil 35 30 0 28 Jun 2022
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning Thomas O'Leary-Roseberry Peng Chen Umberto Villa Omar Ghattas AI4CE 37 40 0 21 Jun 2022
Boosting Factorization Machines via Saliency-Guided Mixup Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao 19 4 0 17 Jun 2022
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions Samira Vafay Eslahi Jian Tao J. Ji 18 1 0 15 Jun 2022
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window Qiuli Wang Xin Tan Chen Liu 26 0 0 08 Jun 2022
An Optimal Transport Approach to Personalized Federated Learning Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 38 12 0 06 Jun 2022
Byzantine-Robust Online and Offline Distributed Reinforcement Learning Yiding Chen Xuezhou Zhang Kai Zhang Mengdi Wang Xiaojin Zhu OffRL 34 16 0 01 Jun 2022
Human Gender Prediction Based on Deep Transfer Learning from Panoramic Radiograph Images I. Atas 3DH MedIm 35 17 0 19 May 2022