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A Selective Overview of Deep Learning

A Selective Overview of Deep Learning

10 April 2019
Jianqing Fan
Cong Ma
Yiqiao Zhong
    BDL
    VLM
ArXivPDFHTML

Papers citing "A Selective Overview of Deep Learning"

15 / 15 papers shown
Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
50
0
0
08 May 2025
Deep learning with missing data
Deep learning with missing data
Tianyi Ma
Tengyao Wang
R. Samworth
66
0
0
21 Apr 2025
Robust Deep Neural Network Estimation for Multi-dimensional Functional
  Data
Robust Deep Neural Network Estimation for Multi-dimensional Functional Data
Shuoyang Wang
Guanqun Cao
3DPC
OOD
27
4
0
19 May 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite
  Variance Assumption
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption
Lihu Xu
Fang Yao
Qiuran Yao
Huiming Zhang
38
10
0
10 Jan 2022
Recent Advances in Reinforcement Learning in Finance
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
27
166
0
08 Dec 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis
The Power of Contrast for Feature Learning: A Theoretical Analysis
Wenlong Ji
Zhun Deng
Ryumei Nakada
James Zou
Linjun Zhang
SSL
53
49
0
06 Oct 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
130
165
0
29 Jan 2021
Estimation of the Mean Function of Functional Data via Deep Neural
  Networks
Estimation of the Mean Function of Functional Data via Deep Neural Networks
Shuoyang Wang
Guanqun Cao
Zuofeng Shang
30
20
0
08 Dec 2020
Forbidden knowledge in machine learning -- Reflections on the limits of
  research and publication
Forbidden knowledge in machine learning -- Reflections on the limits of research and publication
Thilo Hagendorff
14
14
0
19 Nov 2019
Marginally-calibrated deep distributional regression
Marginally-calibrated deep distributional regression
Nadja Klein
David J. Nott
M. Smith
UQCV
32
14
0
26 Aug 2019
On Exact Computation with an Infinitely Wide Neural Net
On Exact Computation with an Infinitely Wide Neural Net
Sanjeev Arora
S. Du
Wei Hu
Zhiyuan Li
Ruslan Salakhutdinov
Ruosong Wang
42
901
0
26 Apr 2019
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
148
602
0
14 Feb 2016
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
125
577
0
27 Feb 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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