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Milan Cvitkovic
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2020 – today
- 2020
- [c5]Jiahao Su, Milan Cvitkovic, Furong Huang:
Sampling-Free Learning of Bayesian Quantized Neural Networks. ICLR 2020 - [i8]Milan Cvitkovic:
Supervised Learning on Relational Databases with Graph Neural Networks. CoRR abs/2002.02046 (2020) - [i7]Xin Huang, Ashish Khetan, Milan Cvitkovic, Zohar S. Karnin:
TabTransformer: Tabular Data Modeling Using Contextual Embeddings. CoRR abs/2012.06678 (2020)
2010 – 2019
- 2019
- [c4]Milan Cvitkovic:
Some requests for machine learning research from the east african tech scene. COMPASS 2019: 37-40 - [c3]Milan Cvitkovic, Günther Koliander:
Minimal Achievable Sufficient Statistic Learning. ICML 2019: 1465-1474 - [c2]Milan Cvitkovic, Badal Singh, Animashree Anandkumar:
Open Vocabulary Learning on Source Code with a Graph-Structured Cache. ICML 2019: 1475-1485 - [i6]Milan Cvitkovic, Günther Koliander:
Minimal Achievable Sufficient Statistic Learning. CoRR abs/1905.07822 (2019) - [i5]Jiahao Su, Milan Cvitkovic, Furong Huang:
Sampling-Free Learning of Bayesian Quantized Neural Networks. CoRR abs/1912.02992 (2019) - [i4]Keng Wah Loon, Laura Graesser, Milan Cvitkovic:
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning. CoRR abs/1912.12482 (2019) - 2018
- [c1]Joseph Marino, Milan Cvitkovic, Yisong Yue:
A General Method for Amortizing Variational Filtering. NeurIPS 2018: 7868-7879 - [i3]Milan Cvitkovic, Badal Singh, Anima Anandkumar:
Open Vocabulary Learning on Source Code with a Graph-Structured Cache. CoRR abs/1810.08305 (2018) - [i2]Milan Cvitkovic:
Some Requests for Machine Learning Research from the East African Tech Scene. CoRR abs/1810.11383 (2018) - [i1]Joseph Marino, Milan Cvitkovic, Yisong Yue:
A General Method for Amortizing Variational Filtering. CoRR abs/1811.05090 (2018)
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last updated on 2024-04-24 22:57 CEST by the dblp team
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