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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
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Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,974 papers shown
Title
Tiny Models are the Computational Saver for Large Models
Tiny Models are the Computational Saver for Large Models
Qingyuan Wang
B. Cardiff
Antoine Frappé
Benoît Larras
Deepu John
46
2
0
26 Mar 2024
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition
Chenhongyi Yang
Zehui Chen
Miguel Espinosa
Linus Ericsson
Zhenyu Wang
Jiaming Liu
Elliot J. Crowley
Mamba
39
89
0
26 Mar 2024
Neural Clustering based Visual Representation Learning
Neural Clustering based Visual Representation Learning
Guikun Chen
Xia Li
Yi Yang
Wenguan Wang
SSL
37
8
0
26 Mar 2024
New Intent Discovery with Attracting and Dispersing Prototype
New Intent Discovery with Attracting and Dispersing Prototype
Shun Zhang
Jian Yang
Jiaqi Bai
Chaoran Yan
Tongliang Li
Zhao Yan
Zhoujun Li
49
4
0
25 Mar 2024
Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression
  Network
Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network
Yin Zhang
Jinhong Deng
Peidong Liu
Wen Li
Shiyu Zhao
40
3
0
25 Mar 2024
Accelerating Federated Learning by Selecting Beneficial Herd of Local
  Gradients
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients
Ping Luo
Xiaoge Deng
Ziqing Wen
Tao Sun
Dongsheng Li
FedML
48
0
0
25 Mar 2024
Learning from Reduced Labels for Long-Tailed Data
Learning from Reduced Labels for Long-Tailed Data
Meng Wei
Zhongnian Li
Yong Zhou
Xinzheng Xu
31
0
0
25 Mar 2024
Training Generative Adversarial Network-Based Vocoder with Limited Data
  Using Augmentation-Conditional Discriminator
Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator
Takuhiro Kaneko
Hirokazu Kameoka
Kou Tanaka
29
0
0
25 Mar 2024
Generating Potent Poisons and Backdoors from Scratch with Guided
  Diffusion
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
Hossein Souri
Arpit Bansal
Hamid Kazemi
Liam H. Fowl
Aniruddha Saha
Jonas Geiping
Andrew Gordon Wilson
Rama Chellappa
Tom Goldstein
Micah Goldblum
SILM
DiffM
21
1
0
25 Mar 2024
Graphs Generalization under Distribution Shifts
Graphs Generalization under Distribution Shifts
Qin Tian
Wenjun Wang
Chen Zhao
Minglai Shao
Wang Zhang
Dong Li
OOD
38
2
0
25 Mar 2024
Camera-aware Label Refinement for Unsupervised Person Re-identification
Camera-aware Label Refinement for Unsupervised Person Re-identification
Pengna Li
Kangyi Wu
Wenli Huang
Sanping Zhou
Jinjun Wang
44
0
0
25 Mar 2024
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using
  Meta Pseudo Labels and Mixed Images
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images
Yifei Wang
Chuhong Zhu
29
0
0
24 Mar 2024
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive
  Learning
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning
Lijin Wu
Shanshan Lei
Feilong Liao
Yuanjun Zheng
Yuxin Liu
Wentao Fu
Hao Song
Jiajun Zhou
42
1
0
24 Mar 2024
Mars Spectrometry 2: Gas Chromatography -- Second place solution
Mars Spectrometry 2: Gas Chromatography -- Second place solution
Dmitry Konovalov
3DPC
19
0
0
24 Mar 2024
Boosting Few-Shot Learning via Attentive Feature Regularization
Boosting Few-Shot Learning via Attentive Feature Regularization
Xingyu Zhu
Shuo Wang
Jinda Lu
Yanbin Hao
Haifeng Liu
Xiangnan He
40
9
0
23 Mar 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision
  Transformer Compression
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
Hancheng Ye
Chong Yu
Peng Ye
Renqiu Xia
Yansong Tang
Jiwen Lu
Tao Chen
Bo-Wen Zhang
56
3
0
23 Mar 2024
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View
  Fundus Images
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images
Ze Chen
Gongyu Zhang
Jiayu Huo
Joan Nunez do Rio
Charalampos Komninos
Yang Liu
Rachel Sparks
Sebastien Ourselin
Christos Bergeles
Timothy Jackson
31
0
0
22 Mar 2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Nicholas Lee
Thanakul Wattanawong
Sehoon Kim
K. Mangalam
Sheng Shen
Gopala Anumanchipalli
Michael W. Mahoney
Kurt Keutzer
A. Gholami
69
46
0
22 Mar 2024
ParFormer: Vision Transformer Baseline with Parallel Local Global Token
  Mixer and Convolution Attention Patch Embedding
ParFormer: Vision Transformer Baseline with Parallel Local Global Token Mixer and Convolution Attention Patch Embedding
Novendra Setyawan
Ghufron Wahyu Kurniawan
Chi-Chia Sun
Jun-Wei Hsieh
Hui-Kai Su
W. Kuo
ViT
MoE
47
0
0
22 Mar 2024
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive
  Segmentation
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation
Wenlve Zhou
Zhiheng Zhou
Tianlei Wang
Delu Zeng
46
0
0
22 Mar 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via
  Decision-Boundary-aware Data Augmentation
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation
Kyohoon Jin
Junho Lee
Juhwan Choi
Sangmin Song
Youngbin Kim
40
0
0
22 Mar 2024
Controlled Training Data Generation with Diffusion Models
Controlled Training Data Generation with Diffusion Models
Teresa Yeo
Andrei Atanov
Harold Benoit
Aleksandr Alekseev
Ruchira Ray
Pooya Esmaeil Akhoondi
Amir Zamir
52
4
0
22 Mar 2024
Latent Diffusion Models for Attribute-Preserving Image Anonymization
Latent Diffusion Models for Attribute-Preserving Image Anonymization
Luca Piano
Pietro Basci
Fabrizio Lamberti
Lia Morra
DiffM
24
4
0
21 Mar 2024
AdaProj: Adaptively Scaled Angular Margin Subspace Projections for
  Anomalous Sound Detection with Auxiliary Classification Tasks
AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks
Kevin Wilkinghoff
26
1
0
21 Mar 2024
Learning Decomposable and Debiased Representations via Attribute-Centric
  Information Bottlenecks
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
Jinyung Hong
Eunyeong Jeon
Changhoon Kim
Keun Hee Park
Utkarsh Nath
Yezhou Yang
Pavan Turaga
Theodore P. Pavlic
CML
38
0
0
21 Mar 2024
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion
  and Inter-Class Separability in Image Classification
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification
Ye Xu
Ya Gao
Xiaorong Qiu
Yang Chen
Ying Ji
32
0
0
21 Mar 2024
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via
  Text Feature Dispersion
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
Hee Suk Yoon
Eunseop Yoon
Joshua Tian Jin Tee
M. Hasegawa-Johnson
Yingzhen Li
C. Yoo
VLM
62
24
0
21 Mar 2024
Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM Semantics
Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM Semantics
Jiaqi Yue
Jiancheng Zhao
Chunhui Zhao
Biao Huang
41
0
0
21 Mar 2024
Onset and offset weighted loss function for sound event detection
Onset and offset weighted loss function for sound event detection
Tao Song
33
0
0
20 Mar 2024
Frequency-aware convolution for sound event detection
Frequency-aware convolution for sound event detection
Tao Song
CVBM
55
0
0
20 Mar 2024
DreamDA: Generative Data Augmentation with Diffusion Models
DreamDA: Generative Data Augmentation with Diffusion Models
Yunxiang Fu
Chaoqi Chen
Yu Qiao
Yizhou Yu
VLM
DiffM
45
12
0
19 Mar 2024
Audio-Visual Compound Expression Recognition Method based on Late
  Modality Fusion and Rule-based Decision
Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision
E. Ryumina
M. Markitantov
D. Ryumin
Heysem Kaya
Alexey Karpov
48
6
0
19 Mar 2024
NTK-Guided Few-Shot Class Incremental Learning
NTK-Guided Few-Shot Class Incremental Learning
Jingren Liu
Zhong Ji
Yanwei Pang
YunLong Yu
CLL
42
3
0
19 Mar 2024
TransformMix: Learning Transformation and Mixing Strategies from Data
TransformMix: Learning Transformation and Mixing Strategies from Data
Tsz-Him Cheung
Dit-Yan Yeung
29
1
0
19 Mar 2024
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
Ce Zhang
Simon Stepputtis
Joseph Campbell
Katia P. Sycara
Yaqi Xie
54
9
0
18 Mar 2024
Posterior Uncertainty Quantification in Neural Networks using Data
  Augmentation
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
Luhuan Wu
Sinead Williamson
UQCV
43
6
0
18 Mar 2024
HIRI-ViT: Scaling Vision Transformer with High Resolution Inputs
HIRI-ViT: Scaling Vision Transformer with High Resolution Inputs
Ting Yao
Yehao Li
Yingwei Pan
Tao Mei
ViT
36
15
0
18 Mar 2024
Probabilistic Calibration by Design for Neural Network Regression
Probabilistic Calibration by Design for Neural Network Regression
V. Dheur
Souhaib Ben Taieb
35
3
0
18 Mar 2024
SETA: Semantic-Aware Token Augmentation for Domain Generalization
SETA: Semantic-Aware Token Augmentation for Domain Generalization
Jintao Guo
Lei Qi
Yinghuan Shi
Yang Gao
ViT
36
2
0
18 Mar 2024
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image
  Reconstruction in Generalizable Medical Image Segmentation
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
Haoyu Zhao
Wen-Wen Dong
Rui Yu
Zhou Zhao
Bo Du
Yongchao Xu
OOD
MedIm
50
4
0
18 Mar 2024
Towards Generalizing to Unseen Domains with Few Labels
Towards Generalizing to Unseen Domains with Few Labels
Chamuditha Jayanga Galappaththige
Sanoojan Baliah
Malitha Gunawardhana
Muhammad Haris Khan
32
3
0
18 Mar 2024
Domain Adaptation Using Pseudo Labels for COVID-19 Detection
Domain Adaptation Using Pseudo Labels for COVID-19 Detection
Runtian Yuan
Qingqiu Li
Junlin Hou
Jilan Xu
Yuejie Zhang
Rui Feng
Hao Chen
OOD
32
0
0
18 Mar 2024
Automated data processing and feature engineering for deep learning and
  big data applications: a survey
Automated data processing and feature engineering for deep learning and big data applications: a survey
A. Mumuni
F. Mumuni
TPM
46
49
0
18 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
41
0
0
18 Mar 2024
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised
  Domain Adaptation
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
Xi Chen
Haosen Yang
Huicong Zhang
Hongxun Yao
Xiatian Zhu
41
2
0
17 Mar 2024
NeoNeXt: Novel neural network operator and architecture based on the
  patch-wise matrix multiplications
NeoNeXt: Novel neural network operator and architecture based on the patch-wise matrix multiplications
Vladimir Korviakov
Denis Koposov
54
0
0
17 Mar 2024
Controllable Relation Disentanglement for Few-Shot Class-Incremental
  Learning
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
Yuanen Zhou
Richang Hong
Yanrong Guo
Lin Liu
Shijie Hao
Hanwang Zhang
36
0
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17 Mar 2024
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
45
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
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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
27
0
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16 Mar 2024
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