Zeljko Agic
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 4 papers; trusts 50 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 88 citations into it; #10,386 of 35,345 by trust here, #18,186 by citations
- Natural Language Processing — 69 citations into it; #2,045 of 5,688 by trust here, #1,939 by citations
- Representation & Self-Supervised Learning — 24 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Model Architectures — 11 citations into it
- Evaluation & Benchmarks — 9 citations into it; #1,092 of 3,147 by trust here, #1,450 by citations
Whom Zeljko Agic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Jeffrey Pennington
- Richard Socher
- Georgiana Dinu
- Quoc V. Le
- Diederik P. Kingma
- Piotr Bojanowski
Who trusts Zeljko Agic overall
- Antonios Anastasopoulos
- Orevaoghene Ahia
- Barry Haddow
- Sachin Kumar
- Edoardo Maria Ponti
- Graham Neubig
- Junjie Hu
- Emanuele Bugliarello
- Isaac Caswell
- Aashi Jain
Papers from Zeljko Agic's perspective
Ordered by how strongly the researchers Zeljko Agic 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages (2019) — 264 citations
- Baselines and Test Data for Cross-Lingual Inference (2017) — 29 citations
- Universal Dependencies 2.1 (2017) — 425 citations
- Conference on Empirical Methods in Natural Language Processing Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media Socialnlp@emnlp2016 Chairs' Welcome Identifying and Categorizing Disaster-related Tweets Why Do They Leave: Modeling Participation in Online