Ophir Frieder
Artificial Intelligence · 2001–2020
A researcher in the Science corpus: 15 papers; trusts 66 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 94 citations into it; #26,124 of 35,345 by trust here, #10,566 by citations
- Information Retrieval & Search — 52 citations into it
- Information Systems — 43 citations into it; #6,010 of 8,771 by trust here, #1,815 by citations
- Natural Language Processing — 37 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Computer Networks and Communications — 19 citations into it; #2,292 of 9,886 by trust here, #1,912 by citations
- Large Language Models — 15 citations into it
- Signal Processing — 11 citations into it
Whom Ophir Frieder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Zhuyun Dai
- Rodrigo Nogueira
- Geoffrey E. Hinton
- Yoshua Bengio
- Jacob Devlin
- Peilin Yang
- Kyunghyun Cho
- Steven J. Fortune
- Jimmy J. Lin
Who trusts Ophir Frieder overall
Papers from Ophir Frieder's perspective
Ordered by how strongly the researchers Ophir Frieder trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Building a test collection for complex document information processing (2006) — 326 citations
- Message-optimal connected dominating sets in mobile ad hoc networks (2002) — 401 citations
- Coverage in wireless ad-hoc sensor networks (2002) — 446 citations
- Efficient Document Re-Ranking for Transformers by Precomputing Term Representations (2020) — 132 citations
- Minimum-energy broadcast routing in static ad hoc wireless networks (2001) — 418 citations
- Efficient interference-aware TDMA link scheduling for static wireless networks (2006) — 322 citations
- Expansion via Prediction of Importance with Contextualization (2020) — 122 citations
- Training Curricula for Open Domain Answer Re-Ranking (2020) — 20 citations
- Hate speech detection: Challenges and solutions (2019) — 568 citations
- Content-Based Weak Supervision for Ad-Hoc Re-Ranking (2017) — 46 citations
- Effects of Sampling on Twitter Trend Detection (2016) — 7 citations
- Average R-Precision (2009) — 3 citations
- Hourly analysis of a very large topically categorized web query log (2004) — 348 citations
- New distributed algorithm for connected dominating set in wireless ad hoc networks (2002) — 329 citations
- Distributed Construction of Connected Dominating Set in Wireless Ad Hoc Networks (2002) — 1,080 citations