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Colin Raffel
Colin Raffel
University of Toronto, Vector Institute and Hugging Face
Bestätigte E-Mail-Adresse bei cs.toronto.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Exploring the limits of transfer learning with a unified text-to-text transformer
C Raffel, N Shazeer, A Roberts, K Lee, S Narang, M Matena, Y Zhou, W Li, ...
Journal of Machine Learning Research, 2020
147072020
Mixmatch: A holistic approach to semi-supervised learning
D Berthelot, N Carlini, I Goodfellow, N Papernot, A Oliver, C Raffel
Neural Information Processing Systems, 2019
31522019
Fixmatch: Simplifying semi-supervised learning with consistency and confidence
K Sohn, D Berthelot, CL Li, Z Zhang, N Carlini, ED Cubuk, A Kurakin, ...
Neural Information Processing Systems, 2020
30332020
librosa: Audio and music signal analysis in python
B McFee, C Raffel, D Liang, DPW Ellis, M McVicar, E Battenberg, O Nieto
Python in Science Conference, 2015
28352015
mT5: A massively multilingual pre-trained text-to-text transformer
L Xue, N Constant, A Roberts, M Kale, R Al-Rfou, A Siddhant, A Barua, ...
Annual Conference of the North American Chapter of the Association for …, 2020
17522020
Emergent abilities of large language models
J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ...
Transactions on Machine Learning Research, 2022
17262022
Multitask Prompted Training Enables Zero-Shot Task Generalization
V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ...
International Conference on Learning Representations, 2021
12372021
Extracting training data from large language models
N Carlini, F Tramer, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ...
USENIX Security Symposium, 2021
12042021
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
12012016
Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
11512022
Realistic evaluation of deep semi-supervised learning algorithms
A Oliver, A Odena, C Raffel, ED Cubuk, I Goodfellow
Neural Information Processing Systems, 2018
11472018
Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring
D Berthelot, N Carlini, ED Cubuk, A Kurakin, K Sohn, H Zhang, C Raffel
International Conference on Learning Representations, 2019
10562019
Probabilistic machine learning: an introduction
KP Murphy
MIT press, 2022
7752022
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
Transactions on Machine Learning Research, 2023
7272023
Thermometer Encoding: One Hot Way To Resist Adversarial Examples
J Buckman, A Roy, C Raffel, I Goodfellow
International Conference on Learning Representations, 2018
7152018
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
A Roberts, C Raffel, N Shazeer
Conference on Empirical Methods in Natural Language Processing, 2020
6962020
mir_eval: A Transparent Implementation of Common MIR Metrics
C Raffel, B McFee, EJ Humphrey, J Salamon, O Nieto, D Liang, DPW Ellis
International Society for Music Information Retrieval Conference, 2014
5692014
A hierarchical latent vector model for learning long-term structure in music
A Roberts, J Engel, C Raffel, C Hawthorne, D Eck
International Conference on Machine Learning, 2018
5432018
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
508*2015
Imperceptible, robust, and targeted adversarial examples for automatic speech recognition
Y Qin, N Carlini, G Cottrell, I Goodfellow, C Raffel
International Conference on Machine Learning, 2019
4372019
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