Dawen Liang

Citirano

	Sve	Od 2020.
Citati	8066	6481
H-indeks	21	16
i10-indeks	29	23

1600

800

400

1200

2015201620172018201920202021202220232024202550 109 233 428 688 891 1185 1300 1380 1534 190

Javni pristup

Prikaži sve

6 članaka

0 članaka

dostupno

nije dostupno

Na temelju uvjeta financiranja

Suautori

Daniel P W EllisResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
Brian McFeeMusic and Performing Arts Professions / Center for Data Science, New York UniversityPotvrđena adresa e-pošte na nyu.edu
Oriol NietoSenior Research Engineer 2 at AdobePotvrđena adresa e-pošte na adobe.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityPotvrđena adresa e-pošte na columbia.edu
Colin RaffelUniversity of Toronto, Vector Institute and Hugging FacePotvrđena adresa e-pošte na cs.toronto.edu
Laurent CharlinAssociate Professor, HEC Montréal & Mila, Canada CIFAR AI ChairPotvrđena adresa e-pošte na hec.ca
James McInerneySenior Research Scientist, NetflixPotvrđena adresa e-pošte na netflix.com
Justin SalamonSenior Research Scientist, Adobe ResearchPotvrđena adresa e-pošte na adobe.com
Eric J. HumphreyLead Research Scientist, This One LtdPotvrđena adresa e-pošte na this.one
Dustin TranResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
Alp KucukelbirAdjunct Professor of Computer Science, Columbia UniversityPotvrđena adresa e-pošte na cs.columbia.edu
Maja RudolphUW-MadisonPotvrđena adresa e-pošte na wisc.edu
Adji Bousso DiengAssistant Professor of Computer Science, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Gus (Guangyu) XiaAssistant Professor of Machine Learning, MBZUAIPotvrđena adresa e-pošte na nyu.edu
Roger B. DannenbergProfessor of Computer Science, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Gautham J. MysoreSenior Principal Scientist, Adobe ResearchPotvrđena adresa e-pošte na adobe.com
Nicolas GoldAssociate Professor in Computer Science, University College LondonPotvrđena adresa e-pošte na ucl.ac.uk
John PaisleyColumbia UniversityPotvrđena adresa e-pošte na columbia.edu
Brendan T. O'ConnorUniversity of Massachusetts AmherstPotvrđena adresa e-pošte na cs.umass.edu
Mark J. HarvillaCTO @ VALDIPotvrđena adresa e-pošte na valdi.ai

Prati

Dawen Liang

Research Scientist, Netflix Inc.

Potvrđena adresa e-pošte na netflix.com - Početna stranica

Machine Learning Recommender Systems RL


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
librosa: Audio and music signal analysis in python. B McFee, C Raffel, D Liang, DPW Ellis, M McVicar, E Battenberg, O Nieto SciPy 2015, 18-24, 2015	3425	2015
Variational autoencoders for collaborative filtering D Liang, RG Krishnan, MD Hoffman, T Jebara Proceedings of the 2018 World Wide Web Conference, 689-698, 2018	1499	2018
mir_eval: a transparent implementation of common MIR metrics C Raffel, B McFee, EJ Humphrey, J Salamon, O Nieto, D Liang, DPW Ellis ISMIR, 367-372, 2014	663	2014
Modeling user exposure in recommendation D Liang, L Charlin, J McInerney, DM Blei Proceedings of the 25th international conference on World Wide Web, 951-961, 2016	441	2016
Edward: A library for probabilistic modeling, inference, and criticism D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei arXiv preprint arXiv:1610.09787, 2016	361	2016
Factorization meets the item embedding: Regularizing matrix factorization with item co-occurrence D Liang, J Altosaar, L Charlin, DM Blei Proceedings of the 10th ACM conference on recommender systems, 59-66, 2016	325	2016
Deep learning for recommender systems: A Netflix case study H Steck, L Baltrunas, E Elahi, D Liang, Y Raimond, J Basilico AI magazine 42 (3), 7-18, 2021	172	2021
Causal inference for recommender systems Y Wang, D Liang, L Charlin, DM Blei Proceedings of the 14th ACM Conference on Recommender Systems, 426-431, 2020	167	2020
Large language models as zero-shot conversational recommenders Z He, Z Xie, R Jha, H Steck, D Liang, Y Feng, BP Majumder, N Kallus, ... Proceedings of the 32nd ACM international conference on information and …, 2023	157	2023
Causal inference for recommendation D Liang, L Charlin, DM Blei Causation: Foundation to Application, Workshop at UAI. AUAI 6 (41), 108, 2016	137	2016
Content-Aware Collaborative Music Recommendation Using Pre-trained Neural Networks D Liang, M Zhan, DPW Ellis ISMIR, 295-301, 2015	107	2015
On the challenges of learning with inference networks on sparse, high-dimensional data R Krishnan, D Liang, M Hoffman International conference on artificial intelligence and statistics, 143-151, 2018	99	2018
The deconfounded recommender: A causal inference approach to recommendation Y Wang, D Liang, L Charlin, DM Blei arXiv preprint arXiv:1808.06581, 2018	80	2018
librosa 0.5. 0 B McFee, M McVicar, O Nieto, S Balke, C Thome, D Liang, E Battenberg, ... Zenodo. URL: https://doi. org/10 5281, 2017	54	2017
librosa: 0.4. 1 B McFee, M McVicar, C Raffel, D Liang, O Nieto, E Battenberg, J Moore, ... Zenodo, 2015	49	2015
Beta Process Sparse Nonnegative Matrix Factorization for Music D Liang, MD Hoffman, DPW Ellis ISMIR, 375-380, 2013	37	2013
Methods and prospects for human–computer performance of popular music RB Dannenberg, NE Gold, D Liang, G Xia Computer Music Journal 38 (2), 36-50, 2014	32	2014
Music genre classification with the million song dataset D Liang, H Gu, B O’Connor Machine Learning Department, CMU, 2011	32	2011
Active scores: Representation and synchronization in human–computer performance of popular music RB Dannenberg, NE Gold, D Liang, G Xia Computer Music Journal 38 (2), 51-62, 2014	24	2014
Codebook-based Scalable Music Tagging with Poisson Matrix Factorization D Liang, J Paisley, DPW Ellis ISMIR, 167-172, 2014	24	2014

Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.

Članci 1–20

Godišnji broj citata

Dvostruki navodi

Spojeni navodi

Dodavanje suautoraSuautori

Prati

Citirano

Suautori