Ronnie Maor

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat What Role Does Hydrological Science Play in the Age of Machine Learning? 2020 Grey Nearing
Frederik Kratzert
Alden Keefe Sampson
Craig Pelissier
Daniel Klotz
Jonathan Frame
Cristina Prieto
Hoshin V. Gupta
2
+ HydroNets: Leveraging River Structure for Hydrologic Modeling 2020 Zach Moshe
Asher Metzger
Frederik Kratzert
Gal Elidan
Sella Nevo
Ran El‐Yaniv
2
+ PDF Chat Flood Prediction Using Machine Learning Models: Literature Review 2018 Amir Mosavi
Pınar Öztürk
Kwok‐wing Chau
2
+ PDF Chat Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales 2020 Dapeng Feng
Kuai Fang
Chaopeng Shen
2
+ PDF Chat A deep convolutional neural network model for rapid prediction of fluvial flood inundation 2020 Syed Rezwan Kabir
Sandhya Patidar
Xilin Xia
Qiuhua Liang
Jeffrey Neal
Gareth Pender
2
+ ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach 2020 Sella Nevo
Gal Elidan
Avinatan Hassidim
Guy Shalev
Oren Gilon
Grey Nearing
Yossi Matias
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets 2019 Frederik Kratzert
Daniel Klotz
Guy Shalev
Günter Klambauer
Sepp Hochreiter
Grey Nearing
2
+ Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition 2018 Pete Warden
1
+ PDF Chat Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks 2018 Frederik Kratzert
Daniel Klotz
Claire Brenner
Karsten Schulz
Mathew Herrnegger
1
+ Representation Learning with Contrastive Predictive Coding 2018 Aäron van den Oord
Yazhe Li
Oriol Vinyals
1
+ PDF Chat A Survey on Deep Transfer Learning 2018 Chuanqi Tan
Fuchun Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
1
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
1
+ GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding 2018 Alex Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel Bowman
1
+ Audio Denoising with Deep Network Priors. 2019 Michael Michelashvili
Lior Wolf
1
+ Multiclass Language Identification using Deep Learning on Spectral Images of Audio Signals 2019 Shauna Revay
Matthew Teschke
1
+ Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech 2019 Zixing Zhang
Bingwen Wu
Björn Schüller
1
+ Unsupervised Learning of Semantic Audio Representations 2017 Aren Jansen
Manoj Plakal
Ratheet Pandya
Daniel P. W. Ellis
Shawn Hershey
Jiayang Liu
Robert C. Moore
Rif A. Saurous
1
+ Look, Listen and Learn 2017 Relja Arandjelović
Andrew Zisserman
1
+ DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition 2013 Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
1
+ PDF Chat Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes 2018 Srinivas Parthasarathy
Carlos Busso
1
+ PDF Chat Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study 2018 Siddique Latif
Rajib Rana
Junaid Qadir
Julien Epps
1
+ auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks 2017 Michael Freitag
Shahin Amiriparian
Sergey Pugachevskiy
Nicholas Cummins
Bj ̈orn W Schuller
1
+ Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models 2017 Sergey Ioffe
1
+ PDF Chat Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis 2019 Veronika Cheplygina
Marleen de Bruijne
Josien P. W. Pluim
1
+ PDF Chat An Unsupervised Autoregressive Model for Speech Representation Learning 2019 Yu-An Chung
Wei-Ning Hsu
Hao Tang
James Glass
1
+ PDF Chat Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks 2019 Santiago Pascual
Mirco Ravanelli
Joan Serrà
Antonio Bonafonte
Yoshua Bengio
1
+ Inundation Modeling in Data Scarce Regions 2019 Zvika Ben-Haim
Vova Anisimov
Aaron David Yonas
Varun Gulshan
Yusef Shafi
Stephan Hoyer
Sella Nevo
1
+ The Visual Task Adaptation Benchmark 2019 Xiaohua Zhai
Joan Puigcerver
Alexander Kolesnikov
Pierre Ruyssen
Carlos Riquelme
Mario Lučić
Josip Djolonga
André Susano Pinto
Maxim Neumann
Alexey Dosovitskiy
1
+ PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition 2019 Qiuqiang Kong
Yin Cao
Turab Iqbal
Yuxuan Wang
Wenwu Wang
Mark D. Plumbley
1
+ Deep Audio Prior 2019 Yapeng Tian
Chenliang Xu
Dingzeyu Li
1
+ Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends 2020 Siddique Latif
Rajib Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn Schüller
1
+ PDF Chat Generative Pre-Training for Speech with Autoregressive Predictive Coding 2020 Yu-An Chung
James Glass
1
+ PDF Chat Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa 2020 Zhongrun Xiang
İbrahim Demir
1
+ What Role Does Hydrological Science Play in the Age of Machine Learning? 2020 Grey Nearing
Frederik Kratzert
Alden Keefe Sampson
Craig Pelissier
Daniel Klotz
Jonathan Frame
Cristina Prieto
Hoshin V. Gupta
1
+ PDF Chat PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition 2020 Qiuqiang Kong
Yin Cao
Turab Iqbal
Yuxuan Wang
Wenwu Wang
Mark D. Plumbley
1
+ PDF Chat FaceNet: A unified embedding for face recognition and clustering 2015 Florian Schroff
Dmitry Kalenichenko
James Philbin
1
+ PDF Chat Rainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory network 2021 Martin Gauch
Frederik Kratzert
Daniel Klotz
Grey Nearing
Jimmy Lin
Sepp Hochreiter
1
+ PDF Chat Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling 2020 Daniel Klotz
Frederik Kratzert
Martin Gauch
Alden Keefe Sampson
Günter Klambauer
Sepp Hochreiter
Grey Nearing
1
+ Uncertainty Estimation with Deep Learning for Rainfall–Runoff Modelling 2021 Daniel Klotz
Frederik Kratzert
Martin Gauch
Alden Keefe Sampson
J. Brandstetter
Günter Klambauer
Sepp Hochreiter
Grey Nearing
1
+ PDF Chat Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa 2020 Zhongrun Xiang
İbrahim Demir
1
+ Rainfall-Runoff modelling using Long-Short-Term-Memory (LSTM) networks 2018 Frederik Kratzert
Daniel Klotz
Claire Brenner
Karsten Schulz
Mathew Herrnegger
1
+ Inundation Modeling in Data Scarce Regions 2019 Zvika Ben-Haim
В. И. Анисимов
Aaron Yonas
Varun Gulshan
Yusef Shafi
Stephan Hoyer
Sella Nevo
1
+ MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 2017 Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
1
+ Representation Learning with Contrastive Predictive Coding 2018 Aäron van den Oord
Yazhe Li
Oriol Vinyals
1
+ How transferable are features in deep neural networks? 2014 Jason Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
1
+ Scikit-learn: Machine Learning in Python 2012 Fabián Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
1
+ Look, Listen and Learn 2017 Relja Arandjelović
Andrew Zisserman
1
+ PDF Chat CNN architectures for large-scale audio classification 2017 Shawn Hershey
Sourish Chaudhuri
Daniel P. W. Ellis
Jort F. Gemmeke
Aren Jansen
Robert C. Moore
Manoj Plakal
Devin Platt
Rif A. Saurous
Bryan Seybold
1
+ MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 2017 Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
1