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Colin Raffel
Colin Raffel
UNC Chapel Hill and Hugging Face
Verified email at cs.unc.edu - Homepage
Title
Cited by
Cited by
Year
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
55292020
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
19552015
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
17952019
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
13902020
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
11202016
Realistic evaluation of deep semi-supervised learning algorithms
A Oliver, A Odena, C Raffel, ED Cubuk, I Goodfellow
Neural Information Processing Systems, 2018
8782018
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
6302020
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
6062019
Thermometer Encoding: One Hot Way To Resist Adversarial Examples
J Buckman, A Roy, C Raffel, I Goodfellow
International Conference on Learning Representations, 2018
5732018
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sĝnderby, D Nouri, ...
503*2015
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
4452014
Extracting training data from large language models
N Carlini, F Tramer, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ...
USENIX Security Symposium, 2021
4022021
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
3832018
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
3432020
Feed-forward networks with attention can solve some long-term memory problems
C Raffel, DPW Ellis
International Conference on Learning Representations, 2015
325*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
3102019
Online and linear-time attention by enforcing monotonic alignments
C Raffel, MT Luong, PJ Liu, RJ Weiss, D Eck
International Conference on Machine Learning, 2017
2482017
Onsets and frames: Dual-objective piano transcription
C Hawthorne, E Elsen, J Song, A Roberts, I Simon, C Raffel, J Engel, ...
International Society for Music Information Retrieval Conference, 2017
2422017
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
2362021
Probabilistic machine learning: an introduction
KP Murphy
MIT press, 2022
2312022
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Articles 1–20