Amrita Bhattacharjee
Artificial Intelligence · 2022–2024
A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Natural Language Processing — 30 citations into it
- Representation & Self-Supervised Learning — 30 citations into it
Whom Amrita Bhattacharjee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kihyuk Sohn
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Yann LeCun
- Richard Socher
- Ilya Sutskever
- Jeffrey Pennington
Papers from Amrita Bhattacharjee's perspective
Ordered by how strongly the researchers Amrita Bhattacharjee 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge (2024) — 579 citations
- Large Language Models for Data Annotation and Synthesis: A Survey (2024) — 318 citations
- Text Transformations in Contrastive Self-Supervised Learning: A Review (2022) — 25 citations