Learning to Stop While Learning to Predict

9 June 2020

Xin Gao

Papers citing "Learning to Stop While Learning to Predict"

23 / 23 papers shown

Title
Tiny Models are the Computational Saver for Large Models Qingyuan Wang B. Cardiff Antoine Frappé Benoît Larras Deepu John 75 2 0 26 Mar 2024
RNA Secondary Structure Prediction By Learning Unrolled Algorithms Xinshi Chen Yu Li Ramzan Umarov Xin Gao Le Song SyDa AI4TS 44 118 0 13 Feb 2020
GLAD: Learning Sparse Graph Recovery H. Shrivastava Xinshi Chen Binghong Chen Guanghui Lan Srinvas Aluru Han Liu Le Song CML 33 36 0 01 Jun 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks Haebeom Lee Hayeon Lee Donghyun Na Saehoon Kim Minseop Park Eunho Yang Sung Ju Hwang BDL OODD 58 107 0 30 May 2019
Particle Flow Bayes' Rule Xinshi Chen H. Dai Le Song 49 9 0 02 Feb 2019
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds Xiaohan Chen Jialin Liu Zhangyang Wang W. Yin 58 234 0 29 Aug 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 93 1,313 0 23 May 2018
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration Xiaoshuai Zhang Yiping Lu Jiaying Liu Bin Dong 46 51 0 20 May 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Yoonho Lee Seungjin Choi 49 27 0 17 Jan 2018
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks Surat Teerapittayanon Bradley McDanel H. T. Kung UQCV 85 1,139 0 06 Sep 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 92 1,118 0 31 Jul 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 65 5 0 12 Jun 2017
Auto-Encoding Sequential Monte Carlo T. Le Maximilian Igl Tom Rainforth Tom Jin Frank Wood BDL DRL 297 152 0 29 May 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 63 285 0 21 Apr 2017
End-to-End Learning for Structured Prediction Energy Networks David Belanger Bishan Yang Andrew McCallum 59 136 0 16 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,894 0 09 Mar 2017
Feedback Networks Amir Zamir Te-Lin Wu Lin Sun Bokui (William) Shen Jitendra Malik Silvio Savarese 55 211 0 30 Dec 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 128 6,987 0 13 Aug 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 99 2,004 0 14 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 58 257 0 06 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 139 1,654 0 02 Jun 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 433 16,944 0 20 Dec 2013