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Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning

21 January 2021
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Z. Tu
Stefano Soatto
ArXivPDFHTML

Papers citing "Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning"

50 / 70 papers shown
Title
CoA: Towards Real Image Dehazing via Compression-and-Adaptation
CoA: Towards Real Image Dehazing via Compression-and-Adaptation
Long Ma
Yuxin Feng
Y. Zhang
Jinyuan Liu
Weimin Wang
Guang-Yong Chen
Chengpei Xu
Zhuo Su
30
0
0
08 Apr 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
Haoran Chen
Ping Wang
Zihan Zhou
X. Zhang
Zuxuan Wu
Yu Jiang
CLL
55
0
0
11 Mar 2025
3D Point Cloud Generation via Autoregressive Up-sampling
Ziqiao Meng
Qichao Wang
Zhipeng Zhou
Irwin King
Peilin Zhao
3DPC
59
0
0
11 Mar 2025
DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and
  Instance-level Pseudo Label Denoising
DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising
Xiaohu Lu
H. Radha
75
0
0
11 Dec 2024
Exponential Moving Average of Weights in Deep Learning: Dynamics and
  Benefits
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits
Daniel Morales-Brotons
Thijs Vogels
Hadrien Hendrikx
121
17
0
27 Nov 2024
Flipped Classroom: Aligning Teacher Attention with Student in
  Generalized Category Discovery
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
Haonan Lin
Wenbin An
Jiahao Wang
Yan Chen
Feng Tian
Mengmeng Wang
Guang Dai
Qianying Wang
Jingdong Wang
34
2
0
29 Sep 2024
Learning Quantized Adaptive Conditions for Diffusion Models
Learning Quantized Adaptive Conditions for Diffusion Models
Yuchen Liang
Yuchuan Tian
Lei Yu
Huao Tang
Jie Hu
Xiangzhong Fang
Hanting Chen
DiffM
32
0
0
26 Sep 2024
Computer Audition: From Task-Specific Machine Learning to Foundation
  Models
Computer Audition: From Task-Specific Machine Learning to Foundation Models
Andreas Triantafyllopoulos
Iosif Tsangko
Alexander Gebhard
A. Mesaros
Tuomas Virtanen
Björn Schuller
39
4
0
22 Jul 2024
MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production
MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production
Jian Ma
Wenguan Wang
Yi Yang
Feng Zheng
45
1
0
04 Jul 2024
MaskMatch: Boosting Semi-Supervised Learning Through Mask
  Autoencoder-Driven Feature Learning
MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning
Wenjin Zhang
Keyi Li
Sen Yang
Chenyang Gao
Wanzhao Yang
Sifan Yuan
I. Marsic
28
1
0
10 May 2024
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the
  Context of Pre-trained Models
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models
Ziting Wen
Oscar Pizarro
Stefan B. Williams
23
0
0
02 Mar 2024
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
Minyoung Huh
Brian Cheung
Jeremy Bernstein
Phillip Isola
Pulkit Agrawal
29
10
0
26 Feb 2024
Referee Can Play: An Alternative Approach to Conditional Generation via
  Model Inversion
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
Xuantong Liu
Tianyang Hu
Wenjia Wang
Kenji Kawaguchi
Yuan Yao
DiffM
70
3
0
26 Feb 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
Yongcun Song
Ziqi Wang
Enrique Zuazua
FedML
30
2
0
21 Feb 2024
Merging Vision Transformers from Different Tasks and Domains
Merging Vision Transformers from Different Tasks and Domains
Peng Ye
Chenyu Huang
Mingzhu Shen
Tao Chen
Yongqi Huang
Yuning Zhang
Wanli Ouyang
MoMe
10
11
0
25 Dec 2023
Debiased Learning for Remote Sensing Data
Debiased Learning for Remote Sensing Data
Chun-Hsiao Yeh
Xudong Wang
Stella X. Yu
Charles Hill
Zackery Steck
Scott Kangas
Aaron A. Reite
15
0
0
24 Dec 2023
SequenceMatch: Revisiting the design of weak-strong augmentations for
  Semi-supervised learning
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
Khanh-Binh Nguyen
16
3
0
24 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
25
2
0
24 Oct 2023
Strong-Weak Integrated Semi-supervision for Unsupervised Single and
  Multi Target Domain Adaptation
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation
Xiaohu Lu
H. Radha
18
0
0
12 Sep 2023
CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing
CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing
Jianwei Cui
David A. Araujo
Suman Saha
Md Faisal Kabir
BDL
36
0
0
25 Aug 2023
Boosting Semi-Supervised Learning by bridging high and low-confidence
  predictions
Boosting Semi-Supervised Learning by bridging high and low-confidence predictions
Khanh-Binh Nguyen
Joon-Sung Yang
22
7
0
15 Aug 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Lihe Yang
Zhen Zhao
Lei Qi
Yu Qiao
Yinghuan Shi
Hengshuang Zhao
19
15
0
13 Aug 2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency
SimMatchV2: Semi-Supervised Learning with Graph Consistency
Mingkai Zheng
Shan You
Lang Huang
Chen Luo
Fei Wang
Chao Qian
Chang Xu
SSL
21
7
0
13 Aug 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
34
24
0
13 Jun 2023
Bytes Are All You Need: Transformers Operating Directly On File Bytes
Bytes Are All You Need: Transformers Operating Directly On File Bytes
Maxwell Horton
Sachin Mehta
Ali Farhadi
Mohammad Rastegari
VLM
12
6
0
31 May 2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation
  Learning
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning
Jin Yuan
Yang Zhang
Yangzhou Du
Zhongchao Shi
Xin Geng
Jianping Fan
Yong Rui
21
0
0
30 May 2023
Transfer Learning for Fine-grained Classification Using Semi-supervised
  Learning and Visual Transformers
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers
Manuel Lagunas
Brayan Impata
Victor Martinez
Virginia Fernandez
Christos Georgakis
Sofia Braun
Felipe Bertrand
ViT
17
8
0
17 May 2023
ZipIt! Merging Models from Different Tasks without Training
ZipIt! Merging Models from Different Tasks without Training
George Stoica
Daniel Bolya
J. Bjorner
Pratik Ramesh
Taylor N. Hearn
Judy Hoffman
VLM
MoMe
44
109
0
04 May 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for
  Generalized Category Discovery
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao
Kai Han
Kwan-Yee Kenneth Wong
34
16
0
14 Apr 2023
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose
  Estimation with Consistency Training
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training
Mohammad Rezaei
Farnaz Farahanipad
Alex Dillhoff
V. Athitsos
3DH
24
2
0
27 Mar 2023
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
Aneeshan Sain
A. Bhunia
Subhadeep Koley
Pinaki Nath Chowdhury
Soumitri Chattopadhyay
Tao Xiang
Yi-Zhe Song
20
18
0
24 Mar 2023
A Survey of Historical Learning: Learning Models with Learning History
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MU
AI4TS
23
2
0
23 Mar 2023
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical
  Consistency for Efficient Semi-supervised Learning
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
26
17
0
22 Mar 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare
  Supervised Learning and Downstream Domain Adaptation
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation
Hui Tang
K. Jia
OOD
26
13
0
16 Mar 2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and
  Consistency
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Jae-Kwang Lim
Jongkeun Na
Nojun Kwak
34
1
0
15 Mar 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You
Yong Zhong
Fan Bao
Jiacheng Sun
Chongxuan Li
Jun Zhu
DiffM
VLM
201
36
0
21 Feb 2023
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete
  Annotations
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations
Yuanhong Chen
Yuyuan Liu
Chong Wang
M. Elliott
C. Kwok
...
Yu Tian
Fengbei Liu
Helen Frazer
Davis J. McCarthy
Gustavo Carneiro
18
1
0
31 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
VLM
38
9
0
12 Jan 2023
Robust Domain Adaptive Object Detection with Unified Multi-Granularity
  Alignment
Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
Libo Zhang
Wenzhang Zhou
Heng Fan
Tiejian Luo
Haibin Ling
ObjD
19
12
0
01 Jan 2023
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSL
BDL
CLL
14
17
0
09 Dec 2022
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
Ziyuan Zhao
Ming Xu
Peisheng Qian
R. Pahwa
Richard Chang
3DPC
CLL
26
8
0
05 Dec 2022
Self-Supervised Visual Representation Learning via Residual Momentum
Self-Supervised Visual Representation Learning via Residual Momentum
T. Pham
Axi Niu
Zhang Kang
Sultan Rizky Hikmawan Madjid
Jiajing Hong
Daehyeok Kim
Joshua Tian Jin Tee
Chang-Dong Yoo
SSL
41
6
0
17 Nov 2022
Dense FixMatch: a simple semi-supervised learning method for pixel-wise
  prediction tasks
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Miquel Martí i Rabadán
Alessandro Pieropan
Hossein Azizpour
A. Maki
11
3
0
18 Oct 2022
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
Yangbangyan Jiang Xiaodan Li
Xiaodan Li
YueFeng Chen
Yuan He
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
9
18
0
26 Sep 2022
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual
  Representation Learning
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
T. Pham
Chaoning Zhang
Axi Niu
Kang Zhang
Chang-Dong Yoo
31
11
0
11 Aug 2022
Semi-supervised Vision Transformers at Scale
Semi-supervised Vision Transformers at Scale
Zhaowei Cai
Avinash Ravichandran
Paolo Favaro
Manchen Wang
Davide Modolo
Rahul Bhotika
Z. Tu
Stefano Soatto
ViT
11
55
0
11 Aug 2022
Label-Free Synthetic Pretraining of Object Detectors
Label-Free Synthetic Pretraining of Object Detectors
Hei Law
Jia Deng
17
4
0
08 Aug 2022
Autoregressive 3D Shape Generation via Canonical Mapping
Autoregressive 3D Shape Generation via Canonical Mapping
A. Cheng
Xueting Li
Sifei Liu
Min Sun
Ming Yang
3DPC
39
39
0
05 Apr 2022
On the Importance of Asymmetry for Siamese Representation Learning
On the Importance of Asymmetry for Siamese Representation Learning
Xiao Wang
Haoqi Fan
Yuandong Tian
Daisuke Kihara
Xinlei Chen
SSL
19
51
0
01 Apr 2022
Omni-DETR: Omni-Supervised Object Detection with Transformers
Omni-DETR: Omni-Supervised Object Detection with Transformers
Pei Wang
Zhaowei Cai
Hao Yang
Gurumurthy Swaminathan
Nuno Vasconcelos
Bernt Schiele
Stefano Soatto
24
40
0
30 Mar 2022
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