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Expressiveness of Rectifier Networks
v1v2v3 (latest)

Expressiveness of Rectifier Networks

18 November 2015
Xingyuan Pan
Vivek Srikumar
    OffRL
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Papers citing "Expressiveness of Rectifier Networks"

17 / 17 papers shown
Title
A Solver-Free Framework for Scalable Learning in Neural ILP
  Architectures
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures
Yatin Nandwani
Rishabh Ranjan
Mausam
Parag Singla
53
7
0
17 Oct 2022
Clustering-Based Interpretation of Deep ReLU Network
Clustering-Based Interpretation of Deep ReLU Network
Nicola Picchiotti
Marco Gori
FAtt
22
0
0
13 Oct 2021
Learning Constraints and Descriptive Segmentation for Subevent Detection
Learning Constraints and Descriptive Segmentation for Subevent Detection
Haoyu Wang
Hongming Zhang
Muhao Chen
Dan Roth
48
23
0
13 Sep 2021
Enhancing Data-Free Adversarial Distillation with Activation
  Regularization and Virtual Interpolation
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation
Xiaoyang Qu
Jianzong Wang
Jing Xiao
73
14
0
23 Feb 2021
Tight Hardness Results for Training Depth-2 ReLU Networks
Tight Hardness Results for Training Depth-2 ReLU Networks
Surbhi Goel
Adam R. Klivans
Pasin Manurangsi
Daniel Reichman
78
41
0
27 Nov 2020
Learning Constraints for Structured Prediction Using Rectifier Networks
Learning Constraints for Structured Prediction Using Rectifier Networks
Xingyuan Pan
Maitrey Mehta
Vivek Srikumar
49
8
0
23 May 2020
Hierarchical Decomposition of Nonlinear Dynamics and Control for System
  Identification and Policy Distillation
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation
Hany Abdulsamad
Jan Peters
24
9
0
04 May 2020
Neural Policy Gradient Methods: Global Optimality and Rates of
  Convergence
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
113
242
0
29 Aug 2019
Augmenting Neural Networks with First-order Logic
Augmenting Neural Networks with First-order Logic
Tao Li
Vivek Srikumar
66
109
0
14 Jun 2019
A Comprehensive Overhaul of Feature Distillation
A Comprehensive Overhaul of Feature Distillation
Byeongho Heo
Jeesoo Kim
Sangdoo Yun
Hyojin Park
Nojun Kwak
J. Choi
139
587
0
03 Apr 2019
Knowledge Transfer via Distillation of Activation Boundaries Formed by
  Hidden Neurons
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo
Minsik Lee
Sangdoo Yun
J. Choi
66
536
0
08 Nov 2018
Learning One-hidden-layer ReLU Networks via Gradient Descent
Learning One-hidden-layer ReLU Networks via Gradient Descent
Xiao Zhang
Yaodong Yu
Lingxiao Wang
Quanquan Gu
MLT
129
135
0
20 Jun 2018
Compact Factorization of Matrices Using Generalized Round-Rank
Compact Factorization of Matrices Using Generalized Round-Rank
Pouya Pezeshkpour
Carlos Guestrin
Sameer Singh
50
2
0
01 May 2018
Multiview Deep Learning for Predicting Twitter Users' Location
Multiview Deep Learning for Predicting Twitter Users' Location
T. Do
Duc Minh Nguyen
Evaggelia Tsiligianni
Bruno Cornelis
Nikos Deligiannis
50
36
0
21 Dec 2017
Bounding and Counting Linear Regions of Deep Neural Networks
Bounding and Counting Linear Regions of Deep Neural Networks
Thiago Serra
Christian Tjandraatmadja
Srikumar Ramalingam
MLT
124
251
0
06 Nov 2017
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Yuanzhi Li
Yang Yuan
MLT
194
655
0
28 May 2017
On the Expressive Power of Deep Neural Networks
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
108
791
0
16 Jun 2016
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