Title
A projection-based framework for gradient-free and parallel learning Andreas Bergmeister Manish Krishan Lal Stefanie Jegelka S. Sra 65 0 0 06 Jun 2025
SoftMAC: Differentiable Soft Body Simulation with Forecast-based Contact Model and Two-way Coupling with Articulated Rigid Bodies and Clothes Min Liu Gang Yang Siyuan Luo Lin Shao 124 4 0 06 Dec 2023
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress Fraser Mince Dzung Dinh Jonas Kgomo Neil Thompson Sara Hooker 58 6 0 12 Sep 2023
System Identification and Control of Front-Steered Ackermann Vehicles through Differentiable Physics B. M. Gonultas Pratik Mukherjee O. G. Poyrazoglu Volkan Isler 85 3 0 07 Aug 2023
Landscape of High-performance Python to Develop Data Science and Machine Learning Applications Oscar Castro P. Bruneau Jean-Sébastien Sottet D. Torregrossa 63 10 0 07 Feb 2023
Baechi: Fast Device Placement of Machine Learning Graphs Beomyeol Jeon L. Cai Chirag Shetty P. Srivastava Jintao Jiang Xiaolan Ke Yitao Meng Cong Xie Indranil Gupta GNN 54 19 0 20 Jan 2023
Selected aspects of complex, hypercomplex and fuzzy neural networks A. Niemczynowicz Radosław Antoni Kycia Maciej Jaworski A. Siemaszko J. Calabuig ... Baruch Schneider Diana Berseghyan Irina Perfiljeva V. Novák Piotr Artiemjew 75 0 0 29 Dec 2022
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions Cheng Wang Carolin (Haas) Lawrence Mathias Niepert 71 3 0 10 Dec 2022
DeeProb-kit: a Python Library for Deep Probabilistic Modelling Lorenzo Loconte G. Gala GP BDL 60 1 0 08 Dec 2022
An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks Mohamed Raed El aoun L. Tidjon Ben Rombaut Foutse Khomh Ahmed E. Hassan 42 7 0 28 Nov 2022
EdnaML: A Declarative API and Framework for Reproducible Deep Learning Abhijit Suprem Sanjyot Vaidya A. Venugopal J. Ferreira C. Pu MoE 82 1 0 13 Nov 2022
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs Taha Tekdogan Serkan Göktas Ayse Yilmazer-Metin 65 0 0 20 Oct 2022
PyPose: A Library for Robot Learning with Physics-based Optimization Chen Wang Dasong Gao Kuan Xu Junyi Geng Yaoyu Hu ... Jiajun Wu Lihua Xie Luca Carlone Marco Hutter Sebastian Scherer PINN AI4CE 140 46 0 30 Sep 2022
PROFET: Profiling-based CNN Training Latency Prophet for GPU Cloud Instances Sungjae Lee Y. Hur Subin Park Kyungyong Lee 58 2 0 10 Aug 2022
Bugs in Machine Learning-based Systems: A Faultload Benchmark Mohammad Mehdi Morovati Amin Nikanjam Foutse Khomh Zhen Ming Z. Jiang 80 21 0 24 Jun 2022
Go Beyond Multiple Instance Neural Networks: Deep-learning Models based on Local Pattern Aggregation Linpeng Jin 62 1 0 28 May 2022
Optimizing Mixture of Experts using Dynamic Recompilations Ferdinand Kossmann Zhihao Jia A. Aiken 96 5 0 04 May 2022
QuadSim: A Quadcopter Rotational Dynamics Simulation Framework For Reinforcement Learning Algorithms Burak Han Demirbilek 32 0 0 14 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 177 48 0 01 Feb 2022
Investigation of Densely Connected Convolutional Networks with Domain Adversarial Learning for Noise Robust Speech Recognition C. Li Ngoc Thang Vu 37 0 0 19 Dec 2021
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning Jun Lv Qiaojun Yu Lin Shao Wenhai Liu Wenqiang Xu Cewu Lu 80 26 0 29 Nov 2021
Implicit SVD for Graph Representation Learning Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 69 5 0 11 Nov 2021
An automatic differentiation system for the age of differential privacy Dmitrii Usynin Alexander Ziller Moritz Knolle Andrew Trask Kritika Prakash Daniel Rueckert Georgios Kaissis 95 3 0 22 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 243 104 0 14 Sep 2021
Relational Graph Convolutional Networks: A Closer Look Thiviyan Thanapalasingam Lucas van Berkel Peter Bloem Paul T. Groth GNN 76 20 0 21 Jul 2021
A Model-Driven Approach to Machine Learning and Software Modeling for the IoT Armin Moin Moharram Challenger A. Badii Stephan Günnemann 37 17 0 06 Jul 2021
TensorFlow RiemOpt: a library for optimization on Riemannian manifolds O. Smirnov 79 7 0 27 May 2021
Adaptive Latent Space Tuning for Non-Stationary Distributions A. Scheinker F. Cropp S. Paiagua D. Filippetto OOD 119 3 0 08 May 2021
Assessment of machine learning methods for state-to-state approaches L. Campoli E. Kustova Polina Maltseva AI4CE 30 2 0 02 Apr 2021
MeetDurian: A Gameful Mobile App to Prevent COVID-19 Infection Dongliang Chen A. Bucchiarone Zhihan Lv 64 49 0 01 Apr 2021
Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact Keenon Werling Dalton Omens Jeongseok Lee Ionnis Exarchos Chenxi Liu PINN 85 82 0 30 Mar 2021
Tangent Space Backpropagation for 3D Transformation Groups Zachary Teed Jia Deng 100 54 0 22 Mar 2021
D3p -- A Python Package for Differentially-Private Probabilistic Programming Lukas Prediger Niki Loppi Samuel Kaski Antti Honkela 82 6 0 22 Mar 2021
LazyTensor: combining eager execution with domain-specific compilers Alex Suhan Davide Libenzi Ailing Zhang Parker Schuh Brennan Saeta Jie Young Sohn Denys Shabalin 47 18 0 26 Feb 2021
Ivy: Templated Deep Learning for Inter-Framework Portability Daniel Lenton Fabio Pardo Fabian Falck Stephen James R. Clark OOD VLM 81 9 0 04 Feb 2021
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values Dai Feng Lili Zhao 48 32 0 07 Jan 2021
Neural Machine Translation: A Review of Methods, Resources, and Tools Zhixing Tan Shuo Wang Zonghan Yang Gang Chen Xuancheng Huang Maosong Sun Yang Liu 3DV AI4TS 99 110 0 31 Dec 2020
Reinforced Deep Markov Models With Applications in Automatic Trading Tadeu A. Ferreira 50 7 0 09 Nov 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 133 90 0 22 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 199 80 0 17 Sep 2020
Generative chemistry: drug discovery with deep learning generative models Yuemin Bian X. Xie AI4CE 130 97 0 20 Aug 2020
Improving Recurrent Neural Network Responsiveness to Acute Clinical Events D. Ledbetter Eugene Laksana M. Aczon R. Wetzel OOD 32 3 0 28 Jul 2020
Accelerating Uncertainty Quantification of Groundwater Flow Modelling Using a Deep Neural Network Proxy Mikkel B. Lykkegaard T. Dodwell D. Moxey BDL 40 20 0 01 Jul 2020
Data-Driven Discovery of Molecular Photoswitches with Multioutput Gaussian Processes Ryan-Rhys Griffiths Jake L. Greenfield Aditya R. Thawani Arian R. Jamasb Henry B. Moss Anthony Bourached Penelope Jones William McCorkindale Alexander A. Aldrick Matthew J. Fuchter Alpha A. Lee 100 14 0 28 Jun 2020
70 years of machine learning in geoscience in review Jesper Sören Dramsch VLM AI4CE 111 163 0 16 Jun 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference Hao Zhang Bo Chen Yulai Cong D. Guo Hongwei Liu Mingyuan Zhou BDL 70 28 0 15 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
Consistent feature selection for neural networks via Adaptive Group Lasso L. Ho Vu C. Dinh OOD 163 10 0 30 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 55 64 0 14 May 2020
Learning to Slide Unknown Objects with Differentiable Physics Simulations Changkyu Song Abdeslam Boularias 177 39 0 11 May 2020