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AlphaNet: Improved Training of Supernets with Alpha-Divergence

AlphaNet: Improved Training of Supernets with Alpha-Divergence

16 February 2021
Dilin Wang
Chengyue Gong
Meng Li
Qiang Liu
Vikas Chandra
ArXivPDFHTML

Papers citing "AlphaNet: Improved Training of Supernets with Alpha-Divergence"

14 / 14 papers shown
Title
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via ααα-βββ-Divergence
Guanghui Wang
Zhiyong Yang
Z. Wang
Shi Wang
Qianqian Xu
Q. Huang
28
0
0
07 May 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shinýa Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
127
5
0
21 Feb 2025
NASH: Neural Architecture and Accelerator Search for
  Multiplication-Reduced Hybrid Models
NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models
Yang Xu
Huihong Shi
Zhongfeng Wang
35
0
0
07 Sep 2024
P$^2$-ViT: Power-of-Two Post-Training Quantization and Acceleration for
  Fully Quantized Vision Transformer
P2^22-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer
Huihong Shi
Xin Cheng
Wendong Mao
Zhongfeng Wang
MQ
33
3
0
30 May 2024
Adaptive Depth Networks with Skippable Sub-Paths
Adaptive Depth Networks with Skippable Sub-Paths
Woochul Kang
20
1
0
27 Dec 2023
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural
  Architecture Search
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search
Bhavna Gopal
Arjun Sridhar
Tunhou Zhang
Yiran Chen
6
3
0
06 Jul 2023
ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach
ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach
Tong Zhou
Shaolei Ren
Xiaolin Xu
AAML
14
13
0
17 Aug 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility:
  What was Missing?
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Yunqing Zhao
Ngai-man Cheung
75
41
0
29 Jun 2022
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software
  Co-Design of Neural Accelerators
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators
Bingqian Lu
Zheyu Yan
Yiyu Shi
Shaolei Ren
11
2
0
25 Mar 2022
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Bichen Wu
Chaojian Li
Hang Zhang
Xiaoliang Dai
Peizhao Zhang
Matthew Yu
Jialiang Wang
Yingyan Lin
Peter Vajda
ViT
14
23
0
19 Nov 2021
UniNet: Unified Architecture Search with Convolution, Transformer, and
  MLP
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
Jihao Liu
Hongsheng Li
Guanglu Song
Xin Huang
Yu Liu
ViT
18
35
0
08 Oct 2021
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Bert Moons
Parham Noorzad
Andrii Skliar
G. Mariani
Dushyant Mehta
Chris Lott
Tijmen Blankevoort
121
43
0
16 Dec 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
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