Krisztian Balog
Information Systems · 2006–2020
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 46 citations into it; #4,680 of 8,771 by trust here, #5,713 by citations
- Artificial Intelligence — 40 citations into it; #21,877 of 35,345 by trust here, #22,463 by citations
- Management Science and Operations Research — 18 citations into it
- Natural Language Processing — 12 citations into it
- Recommender Systems — 11 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Information Retrieval & Search — 8 citations into it
- Computer Science Applications — 6 citations into it
Whom Krisztian Balog trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yongfeng Zhang
- Stephen E. Robertson
- Yehuda Koren
- Chengxiang Zhai
- Xia Ning
- Jaime G. Carbonell
- Mark Sanderson
- F. Maxwell Harper
- Xu Chen
- Steffen Rendle
Who trusts Krisztian Balog overall
- David Mimno
- Maryam Karimzadehgan
- Francesco Bonchi
- Andrew McCallum
- Chengxiang Zhai
- Ryen W. White
- Carlos Castillo
- Jie Tang
- Uma Sawant
- Yongfeng Zhang
Papers from Krisztian Balog's perspective
Ordered by how strongly the researchers Krisztian Balog trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- GloVe: Global Vectors for Word Representation
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
Their papers
- REL: An Entity Linker Standing on the Shoulders of Giants (2020) — 152 citations
- Transparent, Scrutable and Explainable User Models for Personalized Recommendation (2019) — 181 citations
- Lucene4IR (2017) — 27 citations
- Formal models for expert finding in enterprise corpora (2006) — 700 citations