Vaden Masrani
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 170 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it; #16,203 of 21,575 by trust here, #10,154 by citations
- Artificial Intelligence — 55 citations into it; #26,460 of 35,345 by trust here, #15,004 by citations
- Probabilistic & Bayesian Methods — 24 citations into it
- Generative Models — 22 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
- Reinforcement Learning — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom Vaden Masrani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Andriy Mnih
- Geoffrey E. Hinton
- Ruslan Salakhutdinov
- Ronald J. Williams
- Yoshua Bengio
- Diederik P. Kingma
- Chris J. Maddison
- Danilo Jimenez Rezende
- Alex Krizhevsky
Who trusts Vaden Masrani overall
Papers from Vaden Masrani's perspective
Ordered by how strongly the researchers Vaden Masrani 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Flexible Diffusion Modeling of Long Videos (2022) — 371 citations
- Improved Few-Shot Visual Classification (2019) — 272 citations
- The Thermodynamic Variational Objective (2019) — 51 citations