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Dima Kuzmin
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2020 – today
- 2024
- [c9]Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk:
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation. AAAI 2024: 4952-4960 - [i7]Sumanth Doddapaneni, Krishna Sayana, Ambarish Jash, Sukhdeep S. Sodhi, Dima Kuzmin:
User Embedding Model for Personalized Language Prompting. CoRR abs/2401.04858 (2024) - 2023
- [i6]Judith Yue Li, Aren Jansen, Qingqing Huang, Joonseok Lee, Ravi Ganti, Dima Kuzmin:
MAQA: A Multimodal QA Benchmark for Negation. CoRR abs/2301.03238 (2023) - [i5]Naveen Ram, Dima Kuzmin, Ellie Ka In Chio, Moustafa Farid Alzantot, Santiago Ontañón, Ambarish Jash, Judith Yue Li:
Multi-Task End-to-End Training Improves Conversational Recommendation. CoRR abs/2305.06218 (2023) - [i4]Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk:
V2Meow: Meowing to the Visual Beat via Music Generation. CoRR abs/2305.06594 (2023) - 2021
- [c8]Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra:
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. KDD 2021: 3569-3575 - [i3]Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra:
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. CoRR abs/2105.09930 (2021) - 2020
- [c7]Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM 2020: 2821-2828 - [i2]Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR abs/2008.02930 (2020)
2010 – 2019
- 2014
- [i1]Manfred K. Warmuth, Dima Kuzmin:
A Bayesian Probability Calculus for Density Matrices. CoRR abs/1408.3100 (2014) - 2012
- [j3]Manfred K. Warmuth, Dima Kuzmin:
Online variance minimization. Mach. Learn. 87(1): 1-32 (2012) - 2010
- [j2]Manfred K. Warmuth, Dima Kuzmin:
Bayesian generalized probability calculus for density matrices. Mach. Learn. 78(1-2): 63-101 (2010)
2000 – 2009
- 2007
- [j1]Dima Kuzmin, Manfred K. Warmuth:
Unlabeled Compression Schemes for Maximum Classes. J. Mach. Learn. Res. 8: 2047-2081 (2007) - [c6]Dima Kuzmin, Manfred K. Warmuth:
Online kernel PCA with entropic matrix updates. ICML 2007: 465-472 - 2006
- [c5]Manfred K. Warmuth, Dima Kuzmin:
Online Variance Minimization. COLT 2006: 514-528 - [c4]Manfred K. Warmuth, Dima Kuzmin:
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension. NIPS 2006: 1481-1488 - [c3]Manfred K. Warmuth, Dima Kuzmin:
A Bayesian Probability Calculus for Density Matrices. UAI 2006 - 2005
- [c2]Dima Kuzmin, Manfred K. Warmuth:
Unlabeled Compression Schemes for Maximum Classes, . COLT 2005: 591-605 - [c1]Dima Kuzmin, Manfred K. Warmuth:
Optimum Follow the Leader Algorithm. COLT 2005: 684-686
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last updated on 2024-04-25 05:50 CEST by the dblp team
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