Ankur Mallick

Computer Networks and Communications · with Chaudhari · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 19 citations into it
• Information Systems — 8 citations into it
• Artificial Intelligence — 7 citations into it
• Hardware and Architecture — 7 citations into it

Whom Ankur Mallick trusts overall

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

1. David John Cameron MacKay
2. Michael Luby
3. Mor Harchol-Balter
4. Gauri Joshi
5. Sanghamitra Dutta
6. Adam Coates
7. Emina Soljanin
8. Andrew Y. Ng
9. Viveck R. Cadambe
10. Da Wang

Papers from Ankur Mallick's perspective

Ordered by how strongly the researchers Ankur Mallick 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. The tail at scale
8. An Analysis of Single-Layer Networks in Unsupervised Feature Learning
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Rateless codes for near-perfect load balancing in distributed matrix-vector multiplication (2018) — 152 citations