Anjali Gupta

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Large Language Models — 16 citations into it

Whom Anjali Gupta trusts overall

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

1. Alec Radford
2. Kaiming He
3. Geoffrey E. Hinton

Papers from Anjali Gupta's perspective

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

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

Their papers

• Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces (2024) — 669 citations