Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Does ResNet Learn Good General Purpose Features?
Deep Residual Learning for Image Recognition
Multiresolution Deep Belief Networks
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
Deep Residual Networks and Weight Initialization
cient Recurrent Residual Networks Improved by Feature Transfer MSc Thesis
Object level deep feature pooling for compact image representation
Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks
Are ResNets Provably Better than Linear Predictors?
Understanding deep learning requires rethinking generalization
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
Understanding Representations Learned in Deep Architectures
LF-Net: Learning Local Features from Images
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
On the size of Convolutional Neural Networks and generalization performance
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
A Multiobjective Sparse Feature Learning Model for Deep Neural Networks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Refining Architectures of Deep Convolutional Neural Networks
Visualizing Higher-Layer Features of a Deep Network
Super-Resolution of Positive Sources: the Discrete Setup
FractalNet: Ultra-Deep Neural Networks without Residuals
‘ too interconnected to fail ’ financial network of us cds market : topological fragility and systemic risk .
Preserved access and processing of social knowledge in a patient with acquired sociopathy due to ventromedial frontal damage
An Integrated Expert User with End User in Technology Acceptance Model for Actual Evaluation