Jannis Bulian
Artificial Intelligence · 2017–2025
A researcher in the Science corpus: 7 papers; trusts 224 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 141 citations into it; #32,970 of 35,345 by trust here, #13,962 by citations
- Natural Language Processing — 101 citations into it; #4,855 of 5,688 by trust here, #1,674 by citations
- Computer Vision and Pattern Recognition — 61 citations into it
- Reinforcement Learning — 39 citations into it
- Evaluation & Benchmarks — 28 citations into it
- Information Retrieval & Search — 18 citations into it
- Model Architectures — 17 citations into it
- Information Systems — 16 citations into it; #7,916 of 8,771 by trust here, #2,471 by citations
Whom Jannis Bulian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ronald J. Williams
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Kyunghyun Cho
- Michael I. Jordan
- Oriol Vinyals
- Alex Krizhevsky
- Yann LeCun
Who trusts Jannis Bulian overall
Papers from Jannis Bulian's perspective
Ordered by how strongly the researchers Jannis Bulian 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
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Ask the Right Questions: Active Question Reformulation with Reinforcement Learning (2017) — 177 citations
- Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation (2018) — 11 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Scaling Up Models and Data with t5x and seqio (2022) — 224 citations
- Fool Me Twice: Entailment from Wikipedia Gamification (2021) — 64 citations
- CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims (2020) — 284 citations
- Multi-agent query reformulation: Challenges and the role of diversity (2019) — 5 citations