Savya Khosla

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 124 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 140 citations into it
• Artificial Intelligence — 128 citations into it
• Multimodal Learning — 51 citations into it

Whom Savya Khosla trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Kaiming He
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ilya Sutskever
7. Andrew Zisserman
8. Yann LeCun
9. Ross B. Girshick
10. Karen Simonyan

Papers from Savya Khosla's perspective

Ordered by how strongly the researchers Savya Khosla trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Microsoft COCO: Common Objects in Context
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action (2023) — 353 citations
• MuRIL: Multilingual Representations for Indian Languages (2021) — 449 citations