Dara Bahri
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 17 papers; trusts 752 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 795 citations into it; #7,828 of 35,345 by trust here, #2,604 by citations
- Natural Language Processing — 508 citations into it; #5,148 of 5,688 by trust here, #1,443 by citations
- Computer Vision and Pattern Recognition — 366 citations into it; #5,178 of 21,575 by trust here, #1,890 by citations
- Evaluation & Benchmarks — 197 citations into it
- Model Architectures — 191 citations into it; #564 of 2,278 by trust here, #329 by citations
- Large Language Models — 184 citations into it
- Efficiency & Compression — 104 citations into it
- Representation & Self-Supervised Learning — 74 citations into it
Whom Dara Bahri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Noam Shazeer
- Ilya Sutskever
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Alex Graves
- Yann LeCun
- Kaiming He
- Ashish Vaswani
Who trusts Dara Bahri overall
- Yi Tay
- Mostafa Dehghani
- James Lee-Thorp
- Salman Hameed Khan
- J. Ainslie
- Shuangfei Zhai
- Andrew Jaegle
- Guanghui Qin
- Tianyang Lin
- Uri Shaham
Papers from Dara Bahri's perspective
Ordered by how strongly the researchers Dara Bahri trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Long Short-Term Memory
- 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)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Efficient Transformers: A Survey (2020) — 1,579 citations
- Synthesizer: Rethinking Self-Attention for Transformer Models (2020) — 407 citations
- Long Range Arena: A Benchmark for Efficient Transformers (2020) — 917 citations
- UL2: Unifying Language Learning Paradigms (2022) — 395 citations
- Sparse Sinkhorn Attention (2020) — 399 citations
- ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning (2021) — 240 citations
- Charformer: Fast Character Transformers via Gradient-based Subword Tokenization (2021) — 213 citations
- Are Pretrained Convolutions Better than Pretrained Transformers? (2021) — 54 citations
- Transformer Memory as a Differentiable Search Index (2022) — 444 citations
- OmniNet: Omnidirectional Representations from Transformers (2021) — 33 citations
- Confident Adaptive Language Modeling (2022) — 329 citations
- HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections (2020) — 9 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Unifying Language Learning Paradigms (2022) — 139 citations
- HyperGrid Transformers: Towards A Single Model for Multiple Tasks (2021) — 44 citations
- Rethinking Search: Making Experts out of Dilettantes (2021) — 11 citations
- Synthesizer: Rethinking Self-Attention in Transformer Models (2020) — 76 citations