Utku Evci
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
3
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws. | Tian Jin, Ahmed Imtiaz Humayun, Utku Evci, Suvinay Subramanian, Amir Yazdanbakhsh, Dan Alistarh, Gintare Karolina Dziugaite |
| 2024 | ICLR | Scaling Laws for Sparsely-Connected Foundation Models. | Elias Frantar, Carlos Riquelme Ruiz, Neil Houlsby, Dan Alistarh, Utku Evci |
| 2024 | ICLR | Dynamic Sparse Training with Structured Sparsity. | Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani Ioannou |
| 2023 | ICML | Scaling Vision Transformers to 22 Billion Parameters. | Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby |
| 2023 | ICML | The Dormant Neuron Phenomenon in Deep Reinforcement Learning. | Ghada Sokar, Rishabh Agarwal, Pablo Samuel Castro, Utku Evci |
| 2022 | AAAI | Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. | Utku Evci, Yani Ioannou, Cem Keskin, Yann N. Dauphin |
| 2022 | ICLR | GradMax: Growing Neural Networks using Gradient Information. | Utku Evci, Bart van Merrienboer, Thomas Unterthiner, Fabian Pedregosa, Max Vladymyrov |
| 2022 | ICML | Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning. | Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer |
| 2022 | ICML | The State of Sparse Training in Deep Reinforcement Learning. | Laura Graesser, Utku Evci, Erich Elsen, Pablo Samuel Castro |
| 2021 | ICLR | Practical Real Time Recurrent Learning with a Sparse Approximation. | Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves |
| 2020 | ICLR | Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. | Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle |
| 2020 | ICML | Rigging the Lottery: Making All Tickets Winners. | Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen |
| 2018 | ICLR | Empirical Analysis of the Hessian of Over-Parametrized Neural Networks. | Levent Sagun, Utku Evci, V. Ugur Gney, Yann N. Dauphin, Lon Bottou |