热门出版物 - 学术资源搜索

h5 指数:106
h5 中位数:181

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#14 Artificial Intelligence

标题/作者	引用次数	年份
Exploring the limits of transfer learning with a unified text-to-text transformer C Raffel, N Shazeer, A Roberts, K Lee, S Narang, M Matena, Y Zhou, W Li, ... The Journal of Machine Learning Research 21 (1), 5485-5551	8656	2020
Automatic Differentiation in Machine Learning: a Survey AG Baydin, BA Pearlmutter, AA Radul, JM Siskind Journal of Machine Learning Research 18 (153), 1-43	2436	2018
Neural Architecture Search: A Survey T Elsken, JH Metzen, F Hutter Journal of Machine Learning Research 20 (55), 1-21	2408	2019
Monotonic value function factorisation for deep multi-agent reinforcement learning T Rashid, M Samvelyan, CS De Witt, G Farquhar, J Foerster, S Whiteson The Journal of Machine Learning Research 21 (1), 7234-7284	1508	2020
Normalizing flows for probabilistic modeling and inference G Papamakarios, E Nalisnick, DJ Rezende, S Mohamed, ... The Journal of Machine Learning Research 22 (1), 2617-2680	971	2021
Pyro: Deep Universal Probabilistic Programming E Bingham, JP Chen, M Jankowiak, F Obermeyer, N Pradhan, ... Journal of Machine Learning Research 20 (28), 1-6	908	2019
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously A Fisher, C Rudin, F Dominici Journal of Machine Learning Research 20 (177), 1-81	880	2019
Switch transformers: scaling to trillion parameter models with simple and efficient sparsity W Fedus, B Zoph, N Shazeer The Journal of Machine Learning Research 23 (1), 5232-5270	769	2022
The Implicit Bias of Gradient Descent on Separable Data D Soudry, E Hoffer, MS Nacson, S Gunasekar, N Srebro Journal of Machine Learning Research 19 (70), 1-57	751	2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations M Raissi Journal of Machine Learning Research 19 (25), 1-24	694	2018
Stable-baselines3: reliable reinforcement learning implementations A Raffin, A Hill, A Gleave, A Kanervisto, M Ernestus, N Dormann The Journal of Machine Learning Research 22 (1), 12348-12355	651	2021
PyOD: A Python Toolbox for Scalable Outlier Detection Y Zhao, Z Nasrullah, Z Li Journal of Machine Learning Research 20 (96), 1-7	620	2019
Why do deep convolutional networks generalize so poorly to small image transformations? A Azulay, Y Weiss Journal of Machine Learning Research 20 (184), 1-25	529	2019
Underspecification presents challenges for credibility in modern machine learning A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ... The Journal of Machine Learning Research 23 (1), 10237-10297	498	2022
New insights and perspectives on the natural gradient method J Martens The Journal of Machine Learning Research 21 (1), 5776-5851	489	2020
POT: Python optimal transport R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ... The Journal of Machine Learning Research 22 (1), 3571-3578	489	2021
Tunability: Importance of Hyperparameters of Machine Learning Algorithms P Probst, AL Boulesteix, B Bischl Journal of Machine Learning Research 20 (53), 1-32	437	2019
Cooperative SGD: a unified framework for the design and analysis of local-update SGD algorithms J Wang, G Joshi The Journal of Machine Learning Research 22 (1), 9709-9758	418	2021
Emergence of Invariance and Disentanglement in Deep Representations A Achille, S Soatto Journal of Machine Learning Research 19 (50), 1-34	414	2018
To Tune or Not to Tune the Number of Trees in Random Forest P Probst, AL Boulesteix Journal of Machine Learning Research 18 (181), 1-18	403	2018

1 - 20

计算机程序会自动估算并确定日期和引用次数。