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  3. 2003.00152
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Training BatchNorm and Only BatchNorm: On the Expressive Power of Random
  Features in CNNs

Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

29 February 2020
Jonathan Frankle
D. Schwab
Ari S. Morcos
ArXivPDFHTML

Papers citing "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs"

39 / 39 papers shown
Title
Dynamic Gradient Sparse Update for Edge Training
Dynamic Gradient Sparse Update for Edge Training
I-Hsuan Li
Tian-Sheuan Chang
66
1
0
23 Mar 2025
Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins
Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins
Ilker Oguz
Louis J. E. Suter
J. Hsieh
Mustafa Yildirim
Niyazi Ulaş Dinç
Christophe Moser
D. Psaltis
60
2
0
14 Jan 2025
Test-time Adaptation for Regression by Subspace Alignment
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi
Shin'ya Yamaguchi
Atsutoshi Kumagai
Tomoki Hamagami
TTA
46
0
0
04 Oct 2024
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
Bojian Li
Bo Liu
Jinghua Yue
F. Zhou
Fugen Zhou
MedIm
MDE
53
2
0
12 Sep 2024
ST-SACLF: Style Transfer Informed Self-Attention Classifier for
  Bias-Aware Painting Classification
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
Mridula Vijendran
Frederick W. B. Li
Jingjing Deng
Hubert P. H. Shum
56
0
0
03 Aug 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off
  in Adversarial Training
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda
Bahram Zonooz
Elahe Arani
AAML
31
2
0
26 Jan 2024
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
Max Zimmer
Megi Andoni
Christoph Spiegel
Sebastian Pokutta
VLM
52
10
0
23 Dec 2023
Identifying Interpretable Visual Features in Artificial and Biological
  Neural Systems
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems
David A. Klindt
Sophia Sanborn
Francisco Acosta
Frédéric Poitevin
Nina Miolane
MILM
FAtt
44
7
0
17 Oct 2023
ImageBind-LLM: Multi-modality Instruction Tuning
ImageBind-LLM: Multi-modality Instruction Tuning
Jiaming Han
Renrui Zhang
Wenqi Shao
Peng Gao
Peng Xu
...
Yafei Wen
Xiaoxin Chen
Xiangyu Yue
Hongsheng Li
Yu Qiao
MLLM
49
116
0
07 Sep 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine
  Collaborative Normalization
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
Chuyan Zhang
Yuncheng Yang
Hao Zheng
Yun Gu
32
0
0
28 Jul 2023
Dynamical Isometry based Rigorous Fair Neural Architecture Search
Dynamical Isometry based Rigorous Fair Neural Architecture Search
Jianxiang Luo
Junyi Hu
Tianji Pang
Weihao Huang
Chuan-Hsi Liu
21
0
0
05 Jul 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed
  Opportunity
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
27
50
0
14 May 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
66
13
0
29 Mar 2023
Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
Hojin Park
Jaewoo Park
Andrew Beng Jin Teoh
CVBM
35
2
0
05 Jan 2023
Why Neural Networks Work
Why Neural Networks Work
Sayan Mukherjee
Bernardo A. Huberman
13
2
0
26 Nov 2022
Learning to Generate Image Embeddings with User-level Differential
  Privacy
Learning to Generate Image Embeddings with User-level Differential Privacy
Zheng Xu
Maxwell D. Collins
Yuxiao Wang
Liviu Panait
Sewoong Oh
S. Augenstein
Ting Liu
Florian Schroff
H. B. McMahan
FedML
30
29
0
20 Nov 2022
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
Qian Wang
T. Breckon
30
3
0
25 Oct 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of
  Large-Scale Pre-Trained Language Models
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
S. Kwon
Jeonghoon Kim
Jeongin Bae
Kang Min Yoo
Jin-Hwa Kim
Baeseong Park
Byeongwook Kim
Jung-Woo Ha
Nako Sung
Dongsoo Lee
MQ
29
30
0
08 Oct 2022
Byzantines can also Learn from History: Fall of Centered Clipping in
  Federated Learning
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Kerem Ozfatura
Emre Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
FedML
36
13
0
21 Aug 2022
Sparse Structure Search for Parameter-Efficient Tuning
Sparse Structure Search for Parameter-Efficient Tuning
Shengding Hu
Zhen Zhang
Ning Ding
Yadao Wang
Yasheng Wang
Zhiyuan Liu
Maosong Sun
34
16
0
15 Jun 2022
On Fragile Features and Batch Normalization in Adversarial Training
On Fragile Features and Batch Normalization in Adversarial Training
Nils Philipp Walter
David Stutz
Bernt Schiele
AAML
24
5
0
26 Apr 2022
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks
Ángel López García-Arias
Masanori Hashimoto
Masato Motomura
Jaehoon Yu
39
5
0
24 Nov 2021
Efficient and Private Federated Learning with Partially Trainable
  Networks
Efficient and Private Federated Learning with Partially Trainable Networks
Hakim Sidahmed
Zheng Xu
Ankush Garg
Yuan Cao
Mingqing Chen
FedML
49
13
0
06 Oct 2021
Evaluating the fairness of fine-tuning strategies in self-supervised
  learning
Evaluating the fairness of fine-tuning strategies in self-supervised learning
Jason Ramapuram
Dan Busbridge
Russ Webb
27
6
0
01 Oct 2021
MultiEURLEX -- A multi-lingual and multi-label legal document
  classification dataset for zero-shot cross-lingual transfer
MultiEURLEX -- A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
Ilias Chalkidis
Manos Fergadiotis
Ion Androutsopoulos
AILaw
27
106
0
02 Sep 2021
BN-NAS: Neural Architecture Search with Batch Normalization
BN-NAS: Neural Architecture Search with Batch Normalization
Boyu Chen
Peixia Li
Baopu Li
Chen Lin
Chuming Li
Ming Sun
Junjie Yan
Wanli Ouyang
29
30
0
16 Aug 2021
Batch Normalization Preconditioning for Neural Network Training
Batch Normalization Preconditioning for Neural Network Training
Susanna Lange
Kyle E. Helfrich
Qiang Ye
27
9
0
02 Aug 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
50
1,154
0
18 Jun 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
37
209
0
17 Jun 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less
  Overhead
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
27
35
0
19 May 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word
  Matters Pre-training for Little
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha
Robin Jia
Dieuwke Hupkes
J. Pineau
Adina Williams
Douwe Kiela
45
243
0
14 Apr 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural
  Networks by Pruning A Randomly Weighted Network
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer
B. Kailkhura
MQ
35
75
0
17 Mar 2021
Pretrained Transformers as Universal Computation Engines
Pretrained Transformers as Universal Computation Engines
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
28
217
0
09 Mar 2021
Reservoir Transformers
Reservoir Transformers
Sheng Shen
Alexei Baevski
Ari S. Morcos
Kurt Keutzer
Michael Auli
Douwe Kiela
35
17
0
30 Dec 2020
FreezeNet: Full Performance by Reduced Storage Costs
FreezeNet: Full Performance by Reduced Storage Costs
Paul Wimmer
Jens Mehnert
A. P. Condurache
28
13
0
28 Nov 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
42
463
0
30 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSL
CLL
30
279
0
26 Jun 2020
What shapes feature representations? Exploring datasets, architectures,
  and training
What shapes feature representations? Exploring datasets, architectures, and training
Katherine L. Hermann
Andrew Kyle Lampinen
OOD
23
153
0
22 Jun 2020
DeepRetinotopy: Predicting the Functional Organization of Human Visual
  Cortex from Structural MRI Data using Geometric Deep Learning
DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning
Fernanda L. Ribeiro
S. Bollmann
A. M. Puckett
MedIm
21
15
0
26 May 2020
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