Arka Sadhu

Artificial Intelligence · 2020

A researcher in the Science corpus: 3 papers; trusts 310 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 86 citations into it; #29,796 of 35,345 by trust here, #19,439 by citations
• Computer Vision and Pattern Recognition — 70 citations into it; #18,276 of 21,575 by trust here, #12,992 by citations
• Meta & Continual Learning — 41 citations into it; #915 of 1,041 by trust here, #660 by citations
• Representation & Self-Supervised Learning — 29 citations into it
• Reinforcement Learning — 18 citations into it
• Natural Language Processing — 14 citations into it
• Optimization & Training — 12 citations into it
• Multimodal Learning — 9 citations into it

Whom Arka Sadhu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Rahaf Aljundi
4. Yoshua Bengio
5. Kaiming He
6. Yann LeCun
7. Diederik P. Kingma
8. Anthony V. Robins
9. Marc'Aurelio Ranzato
10. Ilya Sutskever

Who trusts Arka Sadhu overall

1. Fei Ye
2. Ameya Prabhu
3. Pranshu Malviya
4. Qingfeng Lan
5. Lilly Kumari
6. Zhen Wang
7. Haeyong Kang

Papers from Arka Sadhu's perspective

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

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

Their papers

• Visually Grounded Continual Learning of Compositional Phrases (2020) — 18 citations
• Gradient-based Editing of Memory Examples for Online Task-free Continual Learning (2020) — 117 citations
• Gradient Based Memory Editing for Task-Free Continual Learning (2020) — 31 citations