Abhinav Verma

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #27,468 of 35,345 by trust here, #19,018 by citations
• Reinforcement Learning — 14 citations into it; #1,861 of 2,242 by trust here, #1,609 by citations

Whom Abhinav Verma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrew W. Moore
2. Stefan Schaal
3. Armando Solar-Lezama
4. K. Åström
5. Richard S. Sutton
6. Andrew Barto
7. Geoffrey E. Hinton
8. Cristian Cadar
9. Jasper Snoek
10. Yoshua Bengio

Who trusts Abhinav Verma overall

1. Swarat Chaudhuri
2. Carolyn Kim
3. Raghuram Mandyam Annasamy
4. Surya Bhupatiraju
5. Osbert Bastani
6. Ritesh Noothigattu
7. Katia P. Sycara
8. Ramitha Sundar
9. Rishabh Singh
10. Kumar Krishna Agrawal

Papers from Abhinav Verma's perspective

Ordered by how strongly the researchers Abhinav Verma trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Programmatically Interpretable Reinforcement Learning (2018) — 417 citations