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mixup: Beyond Empirical Risk Minimization

mixup: Beyond Empirical Risk Minimization

25 October 2017
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
    NoLa
ArXivPDFHTML

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,987 papers shown
Title
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Yeongtak Oh
Jonghyun Lee
Jooyoung Choi
Dahuin Jung
Uiwon Hwang
Sungroh Yoon
TTA
DiffM
47
4
0
16 Mar 2024
Towards Robustness and Diversity: Continual Learning in Dialog
  Generation with Text-Mixup and Batch Nuclear-Norm Maximization
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization
Zihan Wang
Jiayu Xiao
Mengxian Li
Zhongjiang He
Yongxiang Li
Chao Wang
Shuangyong Song
21
0
0
16 Mar 2024
Regularizing CNNs using Confusion Penalty Based Label Smoothing for
  Histopathology Images
Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images
Somenath Kuiry
Alaka Das
M. Nasipuri
N. Das
29
0
0
16 Mar 2024
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Mahdi Alehdaghi
Pourya Shamsolmoali
Rafael M. O. Cruz
Eric Granger
49
1
0
16 Mar 2024
Frozen Feature Augmentation for Few-Shot Image Classification
Frozen Feature Augmentation for Few-Shot Image Classification
Andreas Bär
N. Houlsby
Mostafa Dehghani
Manoj Kumar
VLM
36
4
0
15 Mar 2024
A Short Survey on Importance Weighting for Machine Learning
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
41
6
0
15 Mar 2024
Improving Medical Multi-modal Contrastive Learning with Expert
  Annotations
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
Yogesh Kumar
Pekka Marttinen
MedIm
VLM
33
10
0
15 Mar 2024
Revisiting Adversarial Training under Long-Tailed Distributions
Revisiting Adversarial Training under Long-Tailed Distributions
Xinli Yue
Ningping Mou
Qian Wang
Lingchen Zhao
AAML
33
7
0
15 Mar 2024
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient
  Vision Transformers
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers
Sanghyeok Lee
Joonmyung Choi
Hyunwoo J. Kim
ViT
45
8
0
15 Mar 2024
Visual Foundation Models Boost Cross-Modal Unsupervised Domain
  Adaptation for 3D Semantic Segmentation
Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
Jingyi Xu
Weidong Yang
Lingdong Kong
You-Chen Liu
Rui Zhang
Qingyuan Zhou
Ben Fei
58
10
0
15 Mar 2024
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
Xiaohuan Pei
Tao Huang
Chang Xu
Mamba
27
90
0
15 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Haoyang Liu
Aditya Singh
Yijiang Li
Haohan Wang
AAML
ViT
45
1
0
15 Mar 2024
Analyzing Data Augmentation for Medical Images: A Case Study in
  Ultrasound Images
Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images
Adam Tupper
Christian Gagné
31
3
0
14 Mar 2024
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds
Ilyass Moummad
Nicolas Farrugia
Romain Serizel
Jérémy S. P. Froidevaux
Vincent Lostanlen
46
1
0
14 Mar 2024
uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with
  Unsupervised Audio Mixtures
uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures
Afrina Tabassum
Dung N. Tran
Trung D. Q. Dang
Ismini Lourentzou
K. Koishida
50
0
0
14 Mar 2024
Don't Judge by the Look: Towards Motion Coherent Video Representation
Don't Judge by the Look: Towards Motion Coherent Video Representation
Yitian Zhang
Yue Bai
Huan Wang
Yizhou Wang
Yun Fu
40
0
0
14 Mar 2024
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
Mingyuan Sun
Donghao Zhang
Zongyuan Ge
Jiaxu Wang
Jia Li
Zheng Fang
Renjing Xu
37
7
0
14 Mar 2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label
  Refinement
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
Daiwei Yu
Zhuorong Li
Lina Wei
Canghong Jin
Yun Zhang
Sixian Chan
37
5
0
14 Mar 2024
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition
  Against Model Inversion Attack
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
Yinggui Wang
Yuanqing Huang
Jianshu Li
Le Yang
Kai Song
Lei Wang
AAML
PICV
56
0
0
14 Mar 2024
NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI
NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI
Yuki Kondo
Riku Miyata
Fuma Yasue
Taito Naruki
Norimichi Ukita
38
1
0
13 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
70
5
0
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A Decade's Battle on Dataset Bias: Are We There Yet?
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu
Kaiming He
47
28
0
13 Mar 2024
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
Yoga Esa Wibowo
Cristian Cioflan
T. Ingolfsson
Michael Hersche
Leo Zhao
Abbas Rahimi
Luca Benini
CLL
42
1
0
12 Mar 2024
Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound
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Blake Vanberlo
Alexander Wong
Jesse Hoey
R. Arntfield
46
2
0
12 Mar 2024
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of
  Neurons
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
Simon Dufort-Labbé
P. DÓro
Evgenii Nikishin
Razvan Pascanu
Pierre-Luc Bacon
A. Baratin
45
1
0
12 Mar 2024
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral
  Convolution
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
Honghao Chen
Xiangxiang Chu
Yongjian Ren
Xin Zhao
Kaiqi Huang
41
27
0
12 Mar 2024
Uncertainty-guided Contrastive Learning for Single Source Domain
  Generalisation
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation
Anastasios Arsenos
D. Kollias
Evangelos Petrongonas
Christos Skliros
Stefanos D. Kollias
35
13
0
12 Mar 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
Unknown Domain Inconsistency Minimization for Domain Generalization
Seungjae Shin
Heesun Bae
Byeonghu Na
Yoon-Yeong Kim
Il-Chul Moon
39
2
0
12 Mar 2024
Class Imbalance in Object Detection: An Experimental Diagnosis and Study
  of Mitigation Strategies
Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation Strategies
Nieves Crasto
ObjD
38
5
0
11 Mar 2024
Split to Merge: Unifying Separated Modalities for Unsupervised Domain
  Adaptation
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
Xinyao Li
Yuke Li
Zhekai Du
Fengling Li
Ke Lu
Jingjing Li
VLM
59
4
0
11 Mar 2024
Distribution-Aware Data Expansion with Diffusion Models
Distribution-Aware Data Expansion with Diffusion Models
Haowei Zhu
Ling Yang
Jun-Hai Yong
Hongzhi Yin
Jiawei Jiang
Meng Xiao
Wentao Zhang
Bin Wang
46
3
0
11 Mar 2024
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object
  Localization Perspective
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
Shunsuke Yasuki
Masato Taki
AAML
32
0
0
11 Mar 2024
Transformers Learn Low Sensitivity Functions: Investigations and Implications
Transformers Learn Low Sensitivity Functions: Investigations and Implications
Bhavya Vasudeva
Deqing Fu
Tianyi Zhou
Elliott Kau
Youqi Huang
Vatsal Sharan
30
4
0
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Understanding and Mitigating Human-Labelling Errors in Supervised
  Contrastive Learning
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning
Zijun Long
Lipeng Zhuang
George Killick
R. McCreadie
Gerardo Aragon Camarasa
Paul Henderson
NoLa
33
1
0
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$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections
VkD:V_kD:Vk​D: Improving Knowledge Distillation using Orthogonal Projections
Roy Miles
Ismail Elezi
Jiankang Deng
52
10
0
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Domain Adversarial Active Learning for Domain Generalization
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Jianting Chen
Ling Ding
Yunxiao Yang
Zaiyuan Di
Yang Xiang
OOD
40
0
0
10 Mar 2024
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image
  Classification
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
Yaoyao Zhu
Xiuding Cai
Xueyao Wang
Xiaoqing Chen
Yu Yao
Zhongliang Fu
MedIm
42
1
0
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LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content
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QiHao Zhao
Yalun Dai
Hao Li
Wei Hu
Fan Zhang
Jun Liu
39
15
0
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SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised
  Learning for Robust Infrared Small Target Detection
SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection
Yahao Lu
Yu-Hsiang Lin
Han Wu
Xiaoyu Xian
Yukai Shi
Liang Lin
42
8
0
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Overcoming Data Inequality across Domains with Semi-Supervised Domain
  Generalization
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Jinha Park
Won-Yong Cho
Taesup Kim
47
0
0
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ObjectCompose: Evaluating Resilience of Vision-Based Models on
  Object-to-Background Compositional Changes
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H. Malik
Muhammad Huzaifa
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
DiffM
45
2
0
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Möbius Transform for Mitigating Perspective Distortions in
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Prakash Chandra Chhipa
Meenakshi Subhash Chippa
Kanjar De
Rajkumar Saini
Marcus Liwicki
Mubarak Shah
35
1
0
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Spatiotemporal Pooling on Appropriate Topological Maps Represented as
  Two-Dimensional Images for EEG Classification
Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification
Takuto Fukushima
Ryusuke Miyamoto
36
1
0
07 Mar 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network
  Stacking
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Jialin Li
Qiang Nie
Weifu Fu
Yuhuan Lin
Guangpin Tao
Yong-Jin Liu
Chengjie Wang
38
5
0
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Active Generalized Category Discovery
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Shijie Ma
Fei Zhu
Zhun Zhong
Xu-Yao Zhang
Cheng-Lin Liu
42
13
0
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Enhancing chest X-ray datasets with privacy-preserving large language
  models and multi-type annotations: a data-driven approach for improved
  classification
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification
Ricardo Bigolin Lanfredi
Pritam Mukherjee
Ronald M. Summers
30
4
0
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A Teacher-Free Graph Knowledge Distillation Framework with Dual
  Self-Distillation
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Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
45
8
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Multi-modal Deep Learning
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Chen Yuhua
MedIm
38
35
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Revisiting Confidence Estimation: Towards Reliable Failure Prediction
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Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
57
10
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Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency
  Augmentation in Image Classification
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Puru Vaish
Shunxin Wang
N. Strisciuglio
42
9
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