Avleen Singh Bijral
Artificial Intelligence · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #6,120 of 35,345 by trust here, #9,557 by citations
- Optimization & Training — 25 citations into it; #675 of 2,601 by trust here, #930 by citations
- Computational Mechanics — 17 citations into it; #1,276 of 10,001 by trust here, #1,582 by citations
- Computer Networks and Communications — 9 citations into it; #9,496 of 9,886 by trust here, #8,844 by citations
- Statistical Learning Theory — 8 citations into it
- Management Science and Operations Research — 7 citations into it
- Statistics and Probability — 7 citations into it
- Algorithms & Complexity — 5 citations into it
Whom Avleen Singh Bijral trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shai Shalev-Shwartz
- John C. Duchi
- Ohad Shamir
- Alekh Agarwal
- Chih-Jen Lin
- Tong Zhang
- Joel A. Tropp
- Nati Srebro
- Angelia Nedić
- Yurii E. Nesterov
Who trusts Avleen Singh Bijral overall
- Peter Richtárik
- Martin Takác
- Zheng Qu
- Olivier Fercoq
- Chenxin Ma
- Sebastian U. Stich
- Kumar Kshitij Patel
- Aymeric Dieuleveut
- Tianbao Yang
- Taiji Suzuki
Papers from Avleen Singh Bijral's perspective
Ordered by how strongly the researchers Avleen Singh Bijral trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Their papers
- Mini-Batch Primal and Dual Methods for SVMs (2013) — 197 citations
- Data-Dependent Convergence for Consensus Stochastic Optimization (2016) — 26 citations