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Mike Izbicki
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2020 – today
- 2023
- [c13]Yujie Wang, Mike Izbicki:
DocSplit: Simple Contrastive Pretraining for Large Document Embeddings. EMNLP (Findings) 2023: 14190-14196 - [c12]Il Hyok Pak, Jin Hyok Ri, Chol Ho Ri, Mike Izbicki:
Intra Cell Co-Channel Interference Mitigation in LTE Heterogeneous Network. ICCMS 2023: 212-217 - 2022
- [c11]Yujie Wang, Mike Izbicki:
The Tree Loss: Improving Generalization with Many Classes. AISTATS 2022: 6121-6133 - [c10]Mike Izbicki:
Aligning Word Vectors on Low-Resource Languages with Wiktionary. LoResMT@COLING 2022: 107-117 - [c9]Nick Parlante, Julie Zelenski, Eric S. Roberts, Jed Rembold, Ben Stephenson, Jonathan Hudson, Stephanie Valentine, Juliette Woodrow, Kathleen Creel, Nick Bowman, Larry Joshua Crotts, Andrew Matzureff, Mike Izbicki:
Nifty Assignments. SIGCSE (2) 2022: 1067-1068 - [i1]Yujie Wang, Mike Izbicki:
The Tree Loss: Improving Generalization with Many Classes. CoRR abs/2204.07727 (2022) - 2020
- [c8]Nathan Stringham, Mike Izbicki:
Evaluating Word Embeddings on Low-Resource Languages. Eval4NLP 2020: 176-186
2010 – 2019
- 2019
- [c7]Mike Izbicki, Vagelis Papalexakis, Vassilis J. Tsotras:
Geolocating Tweets in any Language at any Location. CIKM 2019: 89-98 - [c6]Mike Izbicki, Evangelos E. Papalexakis, Vassilis J. Tsotras:
Exploiting the Earth's Spherical Geometry to Geolocate Images. ECML/PKDD (2) 2019: 3-19 - [c5]Mike Izbicki, Christian R. Shelton:
Distributed Learning of Non-convex Linear Models with One Round of Communication. ECML/PKDD (2) 2019: 197-212 - [c4]Mike Izbicki, Christian R. Shelton:
Distributed Learning of Neural Networks with One Round of Communication. PKDD/ECML Workshops (1) 2019: 293-300 - 2017
- [c3]Mike Izbicki, Sajjad Amini, Christian R. Shelton, Hamed Mohsenian Rad:
Identification of destabilizing attacks in power systems. ACC 2017: 3424-3429 - 2016
- [c2]Mike Izbicki:
Open Sourcing the Classroom (Abstract Only). SIGCSE 2016: 723 - 2015
- [c1]Mike Izbicki, Christian R. Shelton:
Faster cover trees. ICML 2015: 1162-1170
Coauthor Index
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