Justin Ma
Information Systems · 2005–2012
A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 24 citations into it; #1,305 of 8,771 by trust here, #1,362 by citations
- Computer Networks and Communications — 19 citations into it; #1,621 of 9,886 by trust here, #1,147 by citations
- ML Systems & Hardware — 8 citations into it; #240 of 575 by trust here, #125 by citations
- Evaluation & Benchmarks — 6 citations into it
- Hardware and Architecture — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Justin Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Niels Provos
- L. Eon Bottou
- Ian Fette
- Sujata Garera
- Francesco Orabona
- Panayiotis Mavrommatis
- Rong-En Fan
- Yann LeCun
- D. Kevin McGrath
- Mark Dredze
Who trusts Justin Ma overall
- Rémi Leblond
- Brad Wardman
- Doyen Sahoo
- Olivier Fercoq
- Ram B. Basnet
- Tomás Pevný
- Hung Le
- Alexandre D'efossez
- Joseph Gardiner
- Carlos Castillo
Papers from Justin Ma's perspective
Ordered by how strongly the researchers Justin Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Fast and Interactive Analytics over Hadoop Data with Spark (2012) — 185 citations
- Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing (2012) — 4,836 citations
- Beyond blacklists: learning to detect malicious web sites from suspicious URLs (2009) — 956 citations
- Identifying suspicious URLs: an application of large-scale online learning (2009) — 609 citations
- Scalability, fidelity, and containment in the potemkin virtual honeyfarm (2005) — 407 citations