Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of
Protein Simulators

Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators

29 August 2023

Shuangjia Zheng

Papers citing "Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators"

15 / 15 papers shown

Title
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem Brian L. Trippe Jason Yim D. Tischer D. Baker Tamara Broderick Regina Barzilay Tommi Jaakkola DiffM 61 237 0 08 Jun 2022
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 197 3,964 0 28 Jul 2021
SSMix: Saliency-Based Span Mixup for Text Classification Soyoung Yoon Gyuwan Kim Kyumin Park 46 71 0 15 Jun 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Guanghui Qin J. Eisner 61 546 0 14 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 223 4,247 0 01 Jan 2021
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 81 390 0 15 Sep 2020
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing Stephan Eismann Patricia Suriana Raphael J. L. Townshend R. Dror GNN 3DV 64 484 0 03 Sep 2020
ProGen: Language Modeling for Protein Generation Ali Madani Bryan McCann Nikhil Naik N. Keskar N. Anand Raphael R. Eguchi Po-Ssu Huang R. Socher 66 282 0 08 Mar 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 609 4,778 0 13 May 2019
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 83 970 0 22 Feb 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 276 9,760 0 25 Oct 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 90 3,635 0 16 Aug 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
Dataset Augmentation in Feature Space Terrance Devries Graham W. Taylor 64 428 0 17 Feb 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 365 7,319 0 13 Jun 2016