Raffel, Colin A

13 publications

NeurIPS 2023 Distributed Inference and Fine-Tuning of Large Language Models over the Internet Alexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin A Raffel
NeurIPS 2023 Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data Alon Albalak, Colin A Raffel, William Yang Wang
NeurIPS 2023 Scaling Data-Constrained Language Models Niklas Muennighoff, Alexander Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi, Aleksandra Piktus, Sampo Pyysalo, Thomas Wolf, Colin A Raffel
NeurIPS 2023 TIES-Merging: Resolving Interference When Merging Models Prateek Yadav, Derek Tam, Leshem Choshen, Colin A Raffel, Mohit Bansal
NeurIPS 2022 A Combinatorial Perspective on the Optimization of Shallow ReLU Networks Michael S Matena, Colin A Raffel
NeurIPS 2022 Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language Zhenlin Xu, Marc Niethammer, Colin A Raffel
NeurIPS 2022 Few-Shot Parameter-Efficient Fine-Tuning Is Better and Cheaper than In-Context Learning Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin A Raffel
NeurIPS 2022 Merging Models with Fisher-Weighted Averaging Michael S Matena, Colin A Raffel
NeurIPS 2021 Training Neural Networks with Fixed Sparse Masks Yi-Lin Sung, Varun Nair, Colin A Raffel
NeurIPS 2020 FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin A Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
NeurIPS 2020 Top-K Training of GANs: Improving GAN Performance by Throwing Away Bad Samples Samarth Sinha, Zhengli Zhao, Anirudh Goyal ALIAS PARTH Goyal, Colin A Raffel, Augustus Odena
NeurIPS 2019 MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, Colin A Raffel
NeurIPS 2018 Realistic Evaluation of Deep Semi-Supervised Learning Algorithms Avital Oliver, Augustus Odena, Colin A Raffel, Ekin Dogus Cubuk, Ian Goodfellow