Geet Sethi
Artificial Intelligence · 2017–2024
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Information Systems — 25 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Computer Networks and Communications — 10 citations into it
- Information Retrieval & Search — 5 citations into it
Whom Geet Sethi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Noam Koenigstein
- Parikshit Ram
- David Freedman
- Udit Gupta
- Jia Deng
- Yehuda Koren
- Maxim Naumov
- Kaiming He
- Ryan R. Curtin
- Geoffrey E. Hinton
Who trusts Geet Sethi overall
Papers from Geet Sethi's perspective
Ordered by how strongly the researchers Geet Sethi 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- To Index or Not to Index: Optimizing Exact Maximum Inner Product Search (2017) — 27 citations
- Movie Gen: A Cast of Media Foundation Models (2024) — 592 citations
- RecShard: statistical feature-based memory optimization for industry-scale neural recommendation (2022) — 81 citations