Chandra Khatri
Natural Language Processing · 2018–2019
A researcher in the Science corpus: 9 papers; trusts 48 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 155 citations into it; #2,814 of 5,688 by trust here, #1,510 by citations
- Artificial Intelligence — 144 citations into it; #17,313 of 35,345 by trust here, #6,911 by citations
- Evaluation & Benchmarks — 41 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
Whom Chandra Khatri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Ilya Sutskever
- Geoffrey E. Hinton
- Alex Graves
- Jiwei Li
- Tomas Mikolov
- Diederik P. Kingma
- David M. Blei
- Thomas Hofmann
- Iulian Serban
Who trusts Chandra Khatri overall
- Emily Dinan
- Raefer Gabriel
- Behnam Hedayatnia
- Jing Xu
- Amanda Cercas Curry
- Weixin Liang
- Sanghyun Yi
- Gavin Abercrombie
- Jason Aaron Edward Weston
- Margaret Li
Papers from Chandra Khatri's perspective
Ordered by how strongly the researchers Chandra Khatri 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
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- On Evaluating and Comparing Conversational Agents (2018) — 85 citations
- Conversational AI: The Science Behind the Alexa Prize (2018) — 301 citations
- Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators (2019) — 66 citations
- Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize (2018) — 87 citations
- Topic-based Evaluation for Conversational Bots (2018) — 57 citations
- Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision (2018) — 33 citations
- Contextual Language Model Adaptation for Conversational Agents (2018) — 26 citations
- On Evaluating and Comparing Open Domain Dialog Systems (2018) — 45 citations
- Contextual Topic Modeling For Dialog Systems (2018) — 26 citations