Pushpendre Rastogi
Natural Language Processing · 2014–2017
A researcher in the Science corpus: 6 papers; trusts 67 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 89 citations into it; #3,036 of 5,688 by trust here, #2,888 by citations
- Artificial Intelligence — 66 citations into it; #10,186 of 35,345 by trust here, #9,369 by citations
- Representation & Self-Supervised Learning — 24 citations into it
- Evaluation & Benchmarks — 16 citations into it; #1,015 of 3,147 by trust here, #1,277 by citations
- Computer Vision and Pattern Recognition — 12 citations into it; #20,523 of 21,575 by trust here, #17,757 by citations
Whom Pushpendre Rastogi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Juri Ganitkevitch
- Daniel Gildea
- Geoffrey E. Hinton
- Benjamin Van Durme
- Dan Jurafsky
- Nathanael Chambers
- Ilya Sutskever
- Matthew D. Zeiler
- Yoshua Bengio
- Kenneth Heafield
Who trusts Pushpendre Rastogi overall
- Ellie Pavlick
- John Wieting
- Adam Poliak
- Mohit Bansal
- Yonatan Belinkov
- Aaron Steven White
- Benjamin Van Durme
- Mathias Creutz
- Kevin Gimpel
- R. Thomas McCoy
Papers from Pushpendre Rastogi's perspective
Ordered by how strongly the researchers Pushpendre Rastogi trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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)
- ImageNet: A large-scale hierarchical image database
Their papers
- PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification (2015) — 342 citations
- Script Induction as Language Modeling (2015) — 102 citations
- Problems With Evaluation of Word Embeddings Using Word Similarity Tasks (2016) — 283 citations
- FrameNet+: Fast Paraphrastic Tripling of FrameNet (2015) — 61 citations
- Augmenting FrameNet Via PPDB (2014) — 18 citations
- Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework (2017) — 89 citations