Raj Kumar Maity
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; #34,057 of 35,345 by trust here, #26,682 by citations
- Optimization & Training — 15 citations into it; #2,537 of 2,601 by trust here, #2,162 by citations
- Computational Mechanics — 7 citations into it; #9,570 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 Raj Kumar Maity trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Raj Kumar Maity overall
Papers from Raj Kumar Maity's perspective
Ordered by how strongly the researchers Raj Kumar Maity 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
- 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)
- LIBSVM: A library for support vector machines
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- vqSGD: Vector Quantized Stochastic Gradient Descent (2022) — 136 citations