Sergey Feldman
Artificial Intelligence · 2011–2020
A researcher in the Science corpus: 5 papers; trusts 49 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it; #16,440 of 35,345 by trust here, #11,921 by citations
- Natural Language Processing — 31 citations into it; #5,558 of 5,688 by trust here, #4,983 by citations
- Representation & Self-Supervised Learning — 27 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Information Systems — 14 citations into it
- Computer Networks and Communications — 8 citations into it
- Statistics and Probability — 8 citations into it
- Computational Mechanics — 6 citations into it; #8,057 of 10,001 by trust here, #8,947 by citations
Whom Sergey Feldman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Smola
- Håvard Rue
- D. Sheldon
- Geoffrey E. Hinton
- Diederik P. Kingma
- Bradley Efron
- Theodoros Evgeniou
- Yoshua Bengio
- L. Eon Bottou
- Yann LeCun
Who trusts Sergey Feldman overall
- Yu Zhang
- Michihiro Yasunaga
- Kyle Lo
- Qiang Yang
- Lucy Lu Wang
- Jure Leskovec
- Arman Cohan
- Guangzhi Xiong
- Niklas Muennighoff
Papers from Sergey Feldman's perspective
Ordered by how strongly the researchers Sergey Feldman trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Content-Based Citation Recommendation (2018) — 183 citations
- Construction of the Literature Graph in Semantic Scholar (2018) — 442 citations
- SPECTER: Document-level Representation Learning using Citation-informed Transformers (2020) — 853 citations
- Multi-Task Averaging (2011) — 16 citations
- Revisiting Stein's paradox: multi-task averaging (2014) — 13 citations