Victor Bittorf

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Optimization & Training — 26 citations into it; #1,214 of 2,601 by trust here, #894 by citations
• Computational Mechanics — 17 citations into it
• Computer Networks and Communications — 7 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Victor Bittorf trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chih-Jen Lin
2. Robert Tibshirani
3. Dimitri P. Bertsekas
4. Ji Liu
5. Yurii E. Nesterov
6. Ohad Shamir

Who trusts Victor Bittorf overall

1. Xiangru Lian
2. Mingyi Hong
3. Dmitry Grishchenko
4. Zhimin Peng
5. Cho-Jui Hsieh

Papers from Victor Bittorf's perspective

Ordered by how strongly the researchers Victor Bittorf trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Regression Shrinkage and Selection via the Lasso
5. Attention is All you Need (Neural Information Processing Systems)
6. Microsoft COCO: Common Objects in Context
7. LIBSVM: A library for support vector machines
8. Support-Vector Networks
9. Identity Mappings in Deep Residual Networks
10. Stochastic Approximation approach to Stochastic Programming

Their papers

• MLPerf Training Benchmark (2019) — 388 citations
• An Approximate, Efficient LP Solver for LP Rounding (2013) — 25 citations
• Impala: A Modern, Open-Source SQL Engine for Hadoop (2015) — 394 citations
• An asynchronous parallel stochastic coordinate descent algorithm (2013) — 398 citations