Utku Evci
Artificial Intelligence · 2017–2025
A researcher in the Science corpus: 6 papers; trusts 152 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 193 citations into it; #17,064 of 35,345 by trust here, #5,153 by citations
- Computer Vision and Pattern Recognition — 163 citations into it
- Efficiency & Compression — 57 citations into it; #1,154 of 1,264 by trust here, #758 by citations
- Optimization & Training — 38 citations into it; #2,440 of 2,601 by trust here, #938 by citations
- Model Architectures — 27 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Scaling & Learning Theory — 16 citations into it
- Signal Processing — 10 citations into it
Whom Utku Evci trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Christian Szegedy
- Jonathan Frankle
- Diederik P. Kingma
- Sergey Ioffe
- Michael C. Mozer
Who trusts Utku Evci overall
- Shiwei Liu
- Sidak Pal Singh
- Hongrong Cheng
- Dan Alistarh
- Pedro H. P. Savarese
- Sara Hooker
- Aditya Kusupati
- Lu Yin
- Eugenia Iofinova
- Decebal Constantin Mocanu
Papers from Utku Evci's perspective
Ordered by how strongly the researchers Utku Evci 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Scaling Vision Transformers to 22 Billion Parameters (2023) — 911 citations
- Empirical Analysis of the Hessian of Over-Parametrized Neural Networks (2017) — 516 citations
- Rigging the Lottery: Making All Tickets Winners (2019) — 758 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Gemma 3 Technical Report (2025) — 1,621 citations
- Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win (2020) — 108 citations