Shital Shah
Optimization & Training · 2017–2023
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 9 citations into it
Whom Shital Shah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Branislav @. Nikoli
- R. Stull
- Lorenz Meier
- Fadri Furrer
- Byron D. Tapley
- Oliver J. Woodman
- Petri Tanskanen
- Michael Burri
- Jan Bosch
Who trusts Shital Shah overall
- Sergey I. Nikolenko
- Yen-Cheng Liu
- Valts Blukis
- Longlong Jing
- Jiarong Lin
- Chen Wang
- Devendra Singh Chaplot
- Maciek Chociej
- Victor Talpaert
- Matthias Müller
Papers from Shital Shah's perspective
Ordered by how strongly the researchers Shital Shah trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- A Survey on Transfer Learning
- Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Learning Word Vectors for Sentiment Analysis
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Scaling Laws for Neural Language Models (arXiv.org)
- Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Their papers
- Textbooks Are All You Need (2023) — 626 citations
- AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles (2017) — 2,474 citations
- An Empirical Analysis of Backward Compatibility in Machine Learning Systems (2020) — 53 citations