Andrea V. Bajcsy
Control and Systems Engineering · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 18 citations into it
- Artificial Intelligence — 15 citations into it
- Reinforcement Learning — 12 citations into it; #1,590 of 2,242 by trust here, #1,689 by citations
- Social Psychology — 8 citations into it
Whom Andrea V. Bajcsy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Y. Ng
- Sami Haddadin
- Ashesh Jain
- Neville Hogan
- Brian D. Ziebart
- Anca Dragan
- Pieter Abbeel
- J. Bagnell
- Michael L. Littman
- Agostino De Santis
Who trusts Andrea V. Bajcsy overall
- Andreea Bobu
- Harish Chaandar Ravichandar
- Marius Wiggert
- Anca Dragan
- Dylan P. Losey
- Claire Jennifer Tomlin
- Pratyusha Sharma
- Athanasios S. Polydoros
- Stephen Casper
- Ajay Mandlekar
Papers from Andrea V. Bajcsy's perspective
Ordered by how strongly the researchers Andrea V. Bajcsy trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Learning from Physical Human Corrections, One Feature at a Time (2018) — 112 citations
- Learning Robot Objectives from Physical Human Interaction (2017) — 167 citations