Jie Tang
Reinforcement Learning · with Abbeel · 2010–2012
A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 17 citations into it; #1,203 of 2,242 by trust here, #1,705 by citations
- Computer Vision and Pattern Recognition — 12 citations into it; #13,953 of 21,575 by trust here, #14,151 by citations
- Aerospace Engineering — 9 citations into it; #3,559 of 6,421 by trust here, #3,388 by citations
- Artificial Intelligence — 9 citations into it
- Control and Systems Engineering — 6 citations into it
Whom Jie Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter W. Glynn
- Jan Peters
- Ronald J. Williams
- David G. Lowe
- Sham M. Kakade
- Richard S. Sutton
- Stefan Schaal
- Andrew Y. Ng
- Jonathan Baxter
- Peter L. Bartlett
Who trusts Jie Tang overall
- Sergey Levine
- Liefeng Bo
- Shixiang Shane Gu
- George Tucker
- Vladlen Koltun
- Xiaofeng Ren
- Coline Devin
- Pieter Abbeel
- Trevor Darrell
- Anastasia Ioannidou
Papers from Jie Tang's perspective
Ordered by how strongly the researchers Jie Tang 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)
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- A textured object recognition pipeline for color and depth image data (2012) — 141 citations
- Recommending interesting activity-related local entities (2011)
- On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient (2010) — 90 citations