Alert button
Picture for Fedor Zhdanov

Fedor Zhdanov

Alert button

StarCoder: may the source be with you!

May 09, 2023
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Figure 1 for StarCoder: may the source be with you!
Figure 2 for StarCoder: may the source be with you!
Figure 3 for StarCoder: may the source be with you!
Figure 4 for StarCoder: may the source be with you!
Viaarxiv icon

Exploiting Invariance in Training Deep Neural Networks

Mar 30, 2021
Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov

Figure 1 for Exploiting Invariance in Training Deep Neural Networks
Figure 2 for Exploiting Invariance in Training Deep Neural Networks
Figure 3 for Exploiting Invariance in Training Deep Neural Networks
Figure 4 for Exploiting Invariance in Training Deep Neural Networks
Viaarxiv icon

Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications

Mar 10, 2020
Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka

Figure 1 for Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Figure 2 for Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Figure 3 for Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Figure 4 for Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Viaarxiv icon

Diverse mini-batch Active Learning

Jan 17, 2019
Fedor Zhdanov

Figure 1 for Diverse mini-batch Active Learning
Figure 2 for Diverse mini-batch Active Learning
Figure 3 for Diverse mini-batch Active Learning
Figure 4 for Diverse mini-batch Active Learning
Viaarxiv icon

An Identity for Kernel Ridge Regression

Dec 06, 2011
Fedor Zhdanov, Yuri Kalnishkan

Viaarxiv icon

Prediction with Expert Advice under Discounted Loss

Jun 04, 2010
Alexey Chernov, Fedor Zhdanov

Viaarxiv icon

Competing with Gaussian linear experts

May 10, 2010
Fedor Zhdanov, Vladimir Vovk

Viaarxiv icon

Supermartingales in Prediction with Expert Advice

Mar 10, 2010
Alexey Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk

Viaarxiv icon

Aggregating Algorithm competing with Banach lattices

Feb 03, 2010
Fedor Zhdanov, Alexey Chernov, Yuri Kalnishkan

Viaarxiv icon