Dileep George
Computer Vision and Pattern Recognition · 2006–2018
A researcher in the Science corpus: 9 papers; trusts 328 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 105 citations into it
- Artificial Intelligence — 90 citations into it; #34,957 of 35,345 by trust here, #8,893 by citations
- Cognitive Neuroscience — 51 citations into it
- Reinforcement Learning — 35 citations into it
- Probabilistic & Bayesian Methods — 28 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
- Signal Processing — 18 citations into it
- Neuroscience — 16 citations into it
Whom Dileep George trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Lawrence R. Rabiner
- Maximilian Riesenhuber
- Dimitri P. Bertsekas
- Richard Granger
- Kunihiko Fukushima
- Tomaso A. Poggio
- Yann LeCun
- Shimon Ullman
- Yoshua Bengio
Who trusts Dileep George overall
- Bo Chen
- Li Deng
- Adam Kortylewski
- Gary F. Marcus
- Brenden M. Lake
- J. Urgen Schmidhuber
- Zeyuan Allen-Zhu
- Itamar Arel
- Qing Liu
- Alan L. Yuille
Papers from Dileep George's perspective
Ordered by how strongly the researchers Dileep George 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics (2017) — 246 citations
- A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs (2017) — 270 citations
- Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies (2018) — 25 citations
- Teaching Compositionality to CNNs (2017) — 58 citations
- Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs (2018) — 84 citations
- Hierarchical compositional feature learning (2016) — 13 citations
- Towards a Mathematical Theory of Cortical Micro-circuits (2009) — 446 citations
- How the brain might work: a hierarchical and temporal model for learning and recognition (2008) — 190 citations
- Hierarchical Temporal Memory Concepts , Theory , and Terminology (2006)