Nadav Golbandi
Artificial Intelligence · 2010–2019
A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it; #11,778 of 35,345 by trust here, #15,236 by citations
- Information Systems — 49 citations into it; #2,101 of 8,771 by trust here, #3,012 by citations
- Computer Vision and Pattern Recognition — 28 citations into it
- Natural Language Processing — 25 citations into it
- Management Science and Operations Research — 21 citations into it; #3,208 of 11,946 by trust here, #5,787 by citations
- Information Retrieval & Search — 19 citations into it; #989 of 1,022 by trust here, #793 by citations
- Statistics and Probability — 10 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Nadav Golbandi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- Al Mamunur Rashid
- Jerome H. Friedman
- Trevor J. Hastie
- George Karypis
- John Riedl
- Thorsten Joachims
- C. Burges
- Robert Tibshirani
- Robert M. Bell
Who trusts Nadav Golbandi overall
- Mehdi Elahi
- Xiaoxue Zhao
- Ke Zhou
- Weinan Zhang
- Francesco Ricci
- Jun Wang
- Neil Rubens
- Shuang-Hong Yang
- Philip Bachman
- Qian Zhang
Papers from Nadav Golbandi's perspective
Ordered by how strongly the researchers Nadav Golbandi trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Adaptive bootstrapping of recommender systems using decision trees (2011) — 288 citations
- On bootstrapping recommender systems (2010) — 85 citations
- Semantic Text Matching for Long-Form Documents (2019) — 102 citations
- TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank (2018) — 146 citations
- Position Bias Estimation for Unbiased Learning to Rank in Personal Search (2018) — 301 citations
- Automatic construction of travel itineraries using social breadcrumbs (2010) — 351 citations