Bela Gipp
Information Systems · 2013–2021
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 53 citations into it; #7,343 of 8,771 by trust here, #5,942 by citations
- Artificial Intelligence — 30 citations into it
- Management Science and Operations Research — 21 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Recommender Systems — 6 citations into it
- Signal Processing — 6 citations into it
Whom Bela Gipp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. Matzke
- J. Konstan
- Bracha Shapira
- Ni Lao
- George Karypis
- Elena A. Erosheva
- Stuart E. Middleton
- Sean M. McNee
- William W. Cohen
- Ramesh Nallapati
Who trusts Bela Gipp overall
Papers from Bela Gipp's perspective
Ordered by how strongly the researchers Bela Gipp trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- 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)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection (2021) — 42 citations
- news-please - A Generic News Crawler and Extractor (2017) — 160 citations
- Research-paper recommender systems: a literature survey (2015) — 839 citations
- A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation (2013) — 159 citations