Ashwin Paranjape
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 5 papers; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 125 citations into it
- Natural Language Processing — 88 citations into it
- Computer Vision and Pattern Recognition — 64 citations into it
- Information Retrieval & Search — 47 citations into it
- Evaluation & Benchmarks — 22 citations into it
- Retrieval-Augmented Generation — 22 citations into it
- Statistical and Nonlinear Physics — 17 citations into it
- Information Systems — 8 citations into it
Whom Ashwin Paranjape trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gautier Izacard
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Kenton C. T. Lee
- Kaiming He
- Jason Aaron Edward Weston
- Yann LeCun
Who trusts Ashwin Paranjape overall
Papers from Ashwin Paranjape's perspective
Ordered by how strongly the researchers Ashwin Paranjape trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Lost in the Middle: How Language Models Use Long Contexts (2023) — 4,355 citations
- Hindsight: Posterior-guided training of retrievers for improved open-ended generation (2021) — 48 citations
- Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations (2020) — 42 citations
- You Only Need One Model for Open-domain Question Answering (2021) — 31 citations
- Motifs in Temporal Networks (2016) — 801 citations