Hemanth Venkateswara

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 302 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it; #8,275 of 35,345 by trust here, #7,346 by citations
• Computer Vision and Pattern Recognition — 48 citations into it; #5,945 of 21,575 by trust here, #5,287 by citations
• Representation & Self-Supervised Learning — 26 citations into it; #1,023 of 3,145 by trust here, #972 by citations
• Model Architectures — 12 citations into it
• Meta & Continual Learning — 9 citations into it; #599 of 1,041 by trust here, #827 by citations

Whom Hemanth Venkateswara trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Kaiming He
5. Mingsheng Long
6. Andrew Zisserman
7. Yann LeCun
8. Diederik P. Kingma
9. Sepp Hochreiter
10. Karen Simonyan

Who trusts Hemanth Venkateswara overall

1. Mingsheng Long
2. Han-Jia Ye
3. Zhangjie Cao
4. Pedro H. O. Pinheiro
5. Kaiyang Zhou
6. Jian Liang
7. Hyunjae Lee
8. Dapeng Hu
9. Hyeonseob Nam
10. Jianmin Wang

Papers from Hemanth Venkateswara's perspective

Ordered by how strongly the researchers Hemanth Venkateswara 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Hashing Network for Unsupervised Domain Adaptation (2017) — 2,514 citations
• A Strategy for an Uncompromising Incremental Learner (2017) — 42 citations