Dhruba Ghosh
Computer Vision and Pattern Recognition · 2023–2024
A researcher in the Science corpus: 3 papers; trusts 105 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 89 citations into it
- Artificial Intelligence — 74 citations into it
- Multimodal Learning — 27 citations into it
- Generative Models — 16 citations into it
- Safety, Robustness & Interpretability — 11 citations into it
Whom Dhruba Ghosh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aditya Ramesh
- Geoffrey E. Hinton
- Diederik P. Kingma
- Paul Kay
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Yoshua Bengio
- Alec Radford
- Yann LeCun
Who trusts Dhruba Ghosh overall
Papers from Dhruba Ghosh's perspective
Ordered by how strongly the researchers Dhruba Ghosh 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- 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
- DataComp: In search of the next generation of multimodal datasets (2023) — 734 citations
- GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment (2023) — 912 citations
- DataComp-LM: In search of the next generation of training sets for language models (2024) — 374 citations