Gaurav Pandey
Artificial Intelligence · with Contractor · 2011–2020
A researcher in the Science corpus: 5 papers; trusts 116 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it; #34,269 of 35,345 by trust here, #23,731 by citations
- Natural Language Processing — 31 citations into it; #5,461 of 5,688 by trust here, #4,449 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #19,065 of 21,575 by trust here, #20,756 by citations
- Representation & Self-Supervised Learning — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Gaurav Pandey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Alex Krizhevsky
- Sepp Hochreiter
- Ruslan Salakhutdinov
- Honglak Lee
Who trusts Gaurav Pandey overall
- Ryan W. Wolcott
- Nicholas Carlevaris-Bianco
- Li He
- Ankur P. Parikh
- Minlie Huang
- Jason Aaron Edward Weston
- Panupong Pasupat
- Ran Tian
- Sorin Mihai Grigorescu
- Bernhard Zeisl
Papers from Gaurav Pandey's perspective
Ordered by how strongly the researchers Gaurav Pandey 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Exemplar Encoder-Decoder for Neural Conversation Generation (2018) — 68 citations
- Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions (2020) — 9 citations
- Learning by Stretching Deep Networks (2014) — 23 citations
- Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information (2012) — 300 citations
- Ford Campus vision and lidar data set (2011) — 395 citations