Durga Toshniwal
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
Whom Durga Toshniwal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Durga Toshniwal's perspective
Ordered by how strongly the researchers Durga Toshniwal trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Deep learning framework to forecast electricity demand (2019) — 429 citations
- RDD2022: A multi‐national image dataset for automatic road damage detection (2022) — 314 citations
- Deep learning models for solar irradiance forecasting: A comprehensive review (2021) — 377 citations