Arya Mazumdar
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #34,054 of 35,345 by trust here, #26,682 by citations
- Optimization & Training — 15 citations into it; #2,534 of 2,601 by trust here, #2,162 by citations
- Computational Mechanics — 7 citations into it; #9,567 of 10,001 by trust here, #6,877 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Arya Mazumdar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Arya Mazumdar overall
Papers from Arya Mazumdar's perspective
Ordered by how strongly the researchers Arya Mazumdar trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Multiple Layers of Features from Tiny Images
- 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
- LIBSVM: A library for support vector machines
- Information Theory: 1948-1998 - Guest Editorial
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- vqSGD: Vector Quantized Stochastic Gradient Descent (2022) — 136 citations