Omkar Bhalerao

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Graph Learning — 18 citations into it

Whom Omkar Bhalerao trusts

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

1. Jure Leskovec (in Graph Learning)
2. Diederik P. Kingma (in Artificial Intelligence)
3. Jimmy Ba (in Artificial Intelligence)

Papers from Omkar Bhalerao's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Dropout: a simple way to prevent neural networks from overfitting
4. GloVe: Global Vectors for Word Representation
5. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. PyTorch: An Imperative Style, High-Performance Deep Learning Library
8. ImageNet classification with deep convolutional neural networks
9. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
10. Relational inductive biases, deep learning, and graph networks

Their papers

• Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods (2021) — 492 citations