ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.05641
  4. Cited By
Net2Net: Accelerating Learning via Knowledge Transfer
v1v2v3v4 (latest)

Net2Net: Accelerating Learning via Knowledge Transfer

18 November 2015
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
ArXiv (abs)PDFHTML

Papers citing "Net2Net: Accelerating Learning via Knowledge Transfer"

43 / 343 papers shown
Title
Scalable Recollections for Continual Lifelong Learning
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
78
64
0
17 Nov 2017
Apprentice: Using Knowledge Distillation Techniques To Improve
  Low-Precision Network Accuracy
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit K. Mishra
Debbie Marr
FedML
74
331
0
15 Nov 2017
Simple And Efficient Architecture Search for Convolutional Neural
  Networks
Simple And Efficient Architecture Search for Convolutional Neural Networks
T. Elsken
J. H. Metzen
Frank Hutter
95
232
0
13 Nov 2017
Online Deep Learning: Learning Deep Neural Networks on the Fly
Online Deep Learning: Learning Deep Neural Networks on the Fly
Doyen Sahoo
Quang Pham
Jing Lu
Guosheng Lin
OnRLAI4CE
84
318
0
10 Nov 2017
EnergyNet: Energy-based Adaptive Structural Learning of Artificial
  Neural Network Architectures
EnergyNet: Energy-based Adaptive Structural Learning of Artificial Neural Network Architectures
Gus Kristiansen
X. Gonzalvo
AI4CE
63
1
0
08 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
172
1,101
0
23 Oct 2017
On overfitting and asymptotic bias in batch reinforcement learning with
  partial observability
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
Vincent François-Lavet
Guillaume Rabusseau
Joelle Pineau
D. Ernst
R. Fonteneau
OffRL
94
34
0
22 Sep 2017
Knowledge Transfer Between Artificial Intelligence Systems
Knowledge Transfer Between Artificial Intelligence Systems
I. Tyukin
A. Gorban
Konstantin I. Sofeikov
I. Romanenko
50
31
0
05 Sep 2017
Accelerating Dependency Graph Learning from Heterogeneous Categorical
  Event Streams via Knowledge Transfer
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer
Chen Luo
Zhengzhang Chen
L. Tang
Anshumali Shrivastava
Zhichun Li
23
1
0
25 Aug 2017
General AI Challenge - Round One: Gradual Learning
General AI Challenge - Round One: Gradual Learning
Jan Feyereisl
Matej Nikl
Martin Poliak
Martin Stránský
M. Vlasak
CLLAI4CE
25
1
0
17 Aug 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
213
766
0
17 Aug 2017
Parallelizing Over Artificial Neural Network Training Runs with
  Multigrid
Parallelizing Over Artificial Neural Network Training Runs with Multigrid
J. Schroder
37
7
0
07 Aug 2017
Efficient Architecture Search by Network Transformation
Efficient Architecture Search by Network Transformation
Han Cai
Tianyao Chen
Weinan Zhang
Yong Yu
Jun Wang
OOD3DV
99
67
0
16 Jul 2017
A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional
  Visual Environment
A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment
Kevin T. Feigelis
Daniel L. K. Yamins
36
0
0
22 Jun 2017
Forward Thinking: Building and Training Neural Networks One Layer at a
  Time
Forward Thinking: Building and Training Neural Networks One Layer at a Time
Chris Hettinger
Tanner Christensen
Ben Ehlert
J. Humpherys
Tyler J. Jarvis
Sean Wade
AI4CE
70
45
0
08 Jun 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning
  to a Generative Visual Dialog Model
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu
A. Kannan
Jianwei Yang
Devi Parikh
Dhruv Batra
BDL
102
137
0
05 Jun 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCVOOD
88
119
0
01 Jun 2017
Inception Recurrent Convolutional Neural Network for Object Recognition
Inception Recurrent Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
60
88
0
25 Apr 2017
Representation Stability as a Regularizer for Improved Text Analytics
  Transfer Learning
Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning
Matthew D Riemer
Elham Khabiri
Richard Goodwin
CLL
103
18
0
12 Apr 2017
Simplified Stochastic Feedforward Neural Networks
Simplified Stochastic Feedforward Neural Networks
Kimin Lee
Jaehyung Kim
S. Chong
Jinwoo Shin
43
3
0
11 Apr 2017
Delving Deeper into MOOC Student Dropout Prediction
Delving Deeper into MOOC Student Dropout Prediction
Jacob Whitehill
K. Mohan
Daniel T. Seaton
Y. Rosen
D. Tingley
41
90
0
21 Feb 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando
Dylan Banarse
Charles Blundell
Yori Zwols
David R Ha
Andrei A. Rusu
Alexander Pritzel
Daan Wierstra
77
882
0
30 Jan 2017
Universal representations:The missing link between faces, text,
  planktons, and cat breeds
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen
Andrea Vedaldi
87
147
0
25 Jan 2017
Embedding Watermarks into Deep Neural Networks
Embedding Watermarks into Deep Neural Networks
Yusuke Uchida
Yuki Nagai
S. Sakazawa
Shiníchi Satoh
122
616
0
15 Jan 2017
Modularized Morphing of Neural Networks
Modularized Morphing of Neural Networks
Tao Wei
Changhu Wang
Chen Chen
55
20
0
12 Jan 2017
Beam Search for Learning a Deep Convolutional Neural Network of 3D
  Shapes
Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes
Xu Xu
S. Todorovic
3DPC3DV
53
47
0
14 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
853
3,312
0
24 Nov 2016
Beyond Fine Tuning: A Modular Approach to Learning on Small Data
Beyond Fine Tuning: A Modular Approach to Learning on Small Data
Ark Anderson
Kyle Shaffer
A. Yankov
Court D. Corley
Nathan Oken Hodas
47
15
0
06 Nov 2016
A Framework for Searching for General Artificial Intelligence
A Framework for Searching for General Artificial Intelligence
Marek Rosa
Jan Feyereisl
The GoodAI Collective
AI4CE
65
19
0
02 Nov 2016
Product-based Neural Networks for User Response Prediction
Product-based Neural Networks for User Response Prediction
Yanru Qu
Han Cai
Kan Ren
Weinan Zhang
Yong Yu
Ying Wen
Jun Wang
132
720
0
01 Nov 2016
A Growing Long-term Episodic & Semantic Memory
A Growing Long-term Episodic & Semantic Memory
Marc Pickett
Rami Al-Rfou
L. Shao
Chris Tar
OffRLCLLKELM
37
10
0
20 Oct 2016
Fast Training of Convolutional Neural Networks via Kernel Rescaling
Fast Training of Convolutional Neural Networks via Kernel Rescaling
Pedro Porto Buarque de Gusmão
Gianluca Francini
S. Lepsøy
E. Magli
26
5
0
12 Oct 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes
X. Gonzalvo
Vitaly Kuznetsov
M. Mohri
Scott Yang
99
285
0
05 Jul 2016
Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D
  Convolutional Network
Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network
Ehsan Hosseini-Asl
G. Gimel'farb
A. El-Baz
MedIm
92
172
0
02 Jul 2016
Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional
  Network
Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network
Ehsan Hosseini-Asl
R. Keynton
A. El-Baz
MedIm
73
272
0
02 Jul 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
457
4,461
0
29 Jun 2016
Convolutional Neural Fabrics
Convolutional Neural Fabrics
Shreyas Saxena
Jakob Verbeek
107
226
0
08 Jun 2016
Deeply-Fused Nets
Deeply-Fused Nets
Jingdong Wang
Zhen Wei
Ting Zhang
Wenjun Zeng
FedML
194
98
0
25 May 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks
  using Adversarial Samples
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
SILMAAML
149
1,745
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
575
8,016
0
23 May 2016
Review of state-of-the-arts in artificial intelligence with application
  to AI safety problem
Review of state-of-the-arts in artificial intelligence with application to AI safety problem
V. Shakirov
66
10
0
11 May 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
Chen Chen
118
177
0
05 Mar 2016
Reducing the Training Time of Neural Networks by Partitioning
Reducing the Training Time of Neural Networks by Partitioning
C. Miranda
F. J. Zuben
27
8
0
10 Nov 2015
Previous
1234567