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Evci, Utku
20  Ergebnisse:
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1

One Step from the Locomotion to the Stepping Pattern:

, In: Proceedings of the 29th International Conference on Computer Animation and Social Agents,
Boulic, Ronan ; Evci, Utku ; Molla, Eray. - p. 165-168 , 2016
Link: https://dl.acm.org/doi/1..
 
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2

The Dormant Neuron Phenomenon in Deep Reinforcement Learnin:

Sokar, Ghada ; Agarwal, Rishabh ; Castro, Pablo Samuel.
http://arxiv.org/abs/2302.12902.  , 2023
Link: http://arxiv.org/abs/230..
 
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3

Scaling Laws for Sparsely-Connected Foundation Models:

Frantar, Elias ; Riquelme, Carlos ; Houlsby, Neil..
http://arxiv.org/abs/2309.08520.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

Scaling Vision Transformers to 22 Billion Parameters:

Dehghani, Mostafa ; Djolonga, Josip ; Mustafa, Basil...
http://arxiv.org/abs/2302.05442.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Dynamic Sparse Training with Structured Sparsity:

Lasby, Mike ; Golubeva, Anna ; Evci, Utku..
http://arxiv.org/abs/2305.02299.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

JaxPruner: A concise library for sparsity research:

Lee, Joo Hyung ; Park, Wonpyo ; Mitchell, Nicole...
http://arxiv.org/abs/2304.14082.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Training Recipe for N:M Structured Sparsity with Decaying P..:

Kao, Sheng-Chun ; Yazdanbakhsh, Amir ; Subramanian, Suvinay...
http://arxiv.org/abs/2209.07617.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

The State of Sparse Training in Deep Reinforcement Learning:

Graesser, Laura ; Evci, Utku ; Elsen, Erich.
http://arxiv.org/abs/2206.10369.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Head2Toe: Utilizing Intermediate Representations for Better..:

Evci, Utku ; Dumoulin, Vincent ; Larochelle, Hugo.
http://arxiv.org/abs/2201.03529.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

Gradient Flow in Sparse Neural Networks and How Lottery Tic..:

Evci, Utku ; Ioannou, Yani ; Keskin, cem.
arxiv:arXiv:2010.03533.  , 2022
Link: https://zenodo.org/recor..
 
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11

GradMax: Growing Neural Networks using Gradient Information:

Evci, Utku ; van Merriënboer, Bart ; Unterthiner, Thomas..
http://arxiv.org/abs/2201.05125.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Comparing Transfer and Meta Learning Approaches on a Unifie..:

Dumoulin, Vincent ; Houlsby, Neil ; Evci, Utku...
http://arxiv.org/abs/2104.02638.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

A Practical Sparse Approximation for Real Time Recurrent Le..:

Menick, Jacob ; Elsen, Erich ; Evci, Utku...
http://arxiv.org/abs/2006.07232.  , 2020
Link: http://arxiv.org/abs/200..
 
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14

Gradient Flow in Sparse Neural Networks and How Lottery Tic..:

Evci, Utku ; Ioannou, Yani A ; Keskin, Cem.
http://arxiv.org/abs/2010.03533.  , 2020
Link: http://arxiv.org/abs/201..
 
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15

Rigging the Lottery: Making All Tickets Winners:

Evci, Utku ; Gale, Trevor ; Menick, Jacob..
http://arxiv.org/abs/1911.11134.  , 2019
Link: http://arxiv.org/abs/191..
 
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