Splicing Up Your Predictions with RNA Contrastive Learning

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Splicing Up Your Predictions with RNA Contrastive Learning

12 October 2023

Leo J. Lee

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Papers citing "Splicing Up Your Predictions with RNA Contrastive Learning"

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Title
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution Eric N. D. Nguyen Michael Poli Marjan Faizi A. Thomas Callum Birch-Sykes ... Stefano Massaroli Yoshua Bengio Stefano Ermon S. Baccus Christopher Ré MedIm 86 256 0 27 Jun 2023
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome Zhihan Zhou Yanrong Ji Weijian Li Pratik Dutta R. Davuluri Han Liu 70 191 0 26 Jun 2023
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? Nenad Tomašev Ioana Bica Brian McWilliams Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL 139 83 0 13 Jan 2022
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 225 190 0 13 Oct 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 944 0 11 May 2021
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 377 6,833 0 13 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,859 0 13 Feb 2020
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 622 4,798 0 13 May 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 282 9,797 0 25 Oct 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 344 8,169 0 13 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 265 18,259 0 02 Jun 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015