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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 / 4,964 papers shown
Title
A3D: Does Diffusion Dream about 3D Alignment?
A3D: Does Diffusion Dream about 3D Alignment?
Savva Ignatyev
Nina Konovalova
Daniil Selikhanovych
Nikolay Patakin
Nikolay Patakin
...
Anton Konushin
Peter Wonka
Alexander Filippov
Peter Wonka
Evgeny Burnaev
DiffM
62
0
0
21 Jun 2024
PoseBench: Benchmarking the Robustness of Pose Estimation Models under
  Corruptions
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions
Sihan Ma
Jing Zhang
Qiong Cao
Dacheng Tao
32
2
0
20 Jun 2024
Towards Event-oriented Long Video Understanding
Towards Event-oriented Long Video Understanding
Yifan Du
Kun Zhou
Yuqi Huo
Yifan Li
Wayne Xin Zhao
Haoyu Lu
Zijia Zhao
Bingning Wang
Weipeng Chen
Ji-Rong Wen
VLM
37
13
0
20 Jun 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Eyal Michaeli
Ohad Fried
62
1
0
20 Jun 2024
Pushing the Limit of Sound Event Detection with Multi-Dilated Frequency
  Dynamic Convolution
Pushing the Limit of Sound Event Detection with Multi-Dilated Frequency Dynamic Convolution
Hyeonuk Nam
Yong-Hwa Park
26
5
0
19 Jun 2024
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across
  Tasks for Few-scribble based Cardiac Segmentation
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation
Ke Zhang
Vishal M. Patel
41
2
0
19 Jun 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised
  Learning
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning
Kai Gan
Tong Wei
Min-Ling Zhang
40
1
0
19 Jun 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability
  of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
Branislav Pecher
Ján Cegin
Róbert Belanec
Jakub Simko
Ivan Srba
M. Bieliková
44
1
0
18 Jun 2024
Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry
  Breaking
Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry Breaking
Ryo Karakida
Toshihiro Ota
Masato Taki
35
2
0
18 Jun 2024
V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object
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V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results
Jiaqi Wang
Yuhang Zang
Pan Zhang
Tao Chu
Yuhang Cao
...
Kehong Yuan
Yanyan Zu
Jiayao Ha
Qiong Gao
Licheng Jiao
ObjD
52
1
0
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Edge Classification on Graphs: New Directions in Topological Imbalance
Edge Classification on Graphs: New Directions in Topological Imbalance
Xueqi Cheng
Yu Wang
Yunchao Liu
Yuying Zhao
Charu C. Aggarwal
Tyler Derr
46
3
0
17 Jun 2024
Semi-Supervised Domain Adaptation Using Target-Oriented Domain
  Augmentation for 3D Object Detection
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection
Yecheol Kim
Junho Lee
Changsoo Park
Hyoung-Won Kim
Inho Lim
Christopher Chang
Jun Won Choi
3DPC
25
1
0
17 Jun 2024
Sound event detection based on auxiliary decoder and maximum probability
  aggregation for DCASE Challenge 2024 Task 4
Sound event detection based on auxiliary decoder and maximum probability aggregation for DCASE Challenge 2024 Task 4
Sang Won Son
Jongyeon Park
Hong Kook Kim
Sulaiman Vesal
Jeong Eun Lim
26
1
0
17 Jun 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
Tian Liu
Huixin Zhang
Shubham Parashar
Shu Kong
29
4
0
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Benchmarking Out-of-Distribution Generalization Capabilities of
  DNN-based Encoding Models for the Ventral Visual Cortex
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex
Spandan Madan
Will Xiao
Mingran Cao
Hanspeter Pfister
Margaret Livingstone
Gabriel Kreiman
OOD
66
4
0
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Physics-Informed Deep Learning and Partial Transfer Learning for Bearing
  Fault Diagnosis in the Presence of Highly Missing Data
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data
Mohammadreza Kavianpour
Parisa Kavianpour
Amin Ramezani
AI4CE
30
1
0
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Global-Local Graph Neural Networks for Node-Classification
Global-Local Graph Neural Networks for Node-Classification
Moshe Eliasof
Eran Treister
41
3
0
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Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image
  Classification
Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image Classification
Tianyunxi Wei
Yijin Huang
Li Lin
Pujin Cheng
Sirui Li
Xiaoying Tang
40
1
0
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Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
54
0
0
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Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions
  with HSI-Diffusion for the FINCH Spacecraft
Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraft
Ian Vyse
Rishit Dagli
Dav Vrat Chadha
John P. Ma
Hector Chen
...
Iliya Shofman
Coby Silayan
Reid Sox-Harris
Shuhan Zheng
Khang Nguyen
44
0
0
15 Jun 2024
SemanticMIM: Marring Masked Image Modeling with Semantics Compression
  for General Visual Representation
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation
Yike Yuan
Huanzhang Dou
Fengjun Guo
Xi Li
36
2
0
15 Jun 2024
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with
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Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency
Weide Liu
Jingwen Hou
Xiaoyang Zhong
Huijing Zhan
Jun Cheng
Yuming Fang
Guanghui Yue
28
0
0
14 Jun 2024
H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent
H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent
Son Nguyen
Lizhang Chen
Bo Liu
Qiang Liu
30
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LieRE: Generalizing Rotary Position Encodings
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Sophie Ostmeier
Brian Axelrod
Michael E. Moseley
Akshay S. Chaudhari
C. Langlotz
28
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FLea: Addressing Data Scarcity and Label Skew in Federated Learning via
  Privacy-preserving Feature Augmentation
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Tong Xia
Abhirup Ghosh
Xinchi Qiu
Cecilia Mascolo
27
3
0
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4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
Roman Bachmann
Oğuzhan Fatih Kar
David Mizrahi
Ali Garjani
Mingfei Gao
David Griffiths
Jiaming Hu
Afshin Dehghan
Amir Zamir
MoE
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MLLM
41
14
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Why Warmup the Learning Rate? Underlying Mechanisms and Improvements
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements
Dayal Singh Kalra
M. Barkeshli
49
7
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Assessing Model Generalization in Vicinity
Assessing Model Generalization in Vicinity
Yuchi Liu
Yifan Sun
Jingdong Wang
Liang Zheng
AAML
33
0
0
13 Jun 2024
Enhanced Object Detection: A Study on Vast Vocabulary Object Detection
  Track for V3Det Challenge 2024
Enhanced Object Detection: A Study on Vast Vocabulary Object Detection Track for V3Det Challenge 2024
Peixi Wu
Bosong Chai
Xuan Nie
Longquan Yan
Zeyu Wang
Qifan Zhou
Boning Wang
Yansong Peng
Hebei Li
ObjD
31
1
0
13 Jun 2024
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality
  Generation
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Lincan Cai
Shuang Li
Wenxuan Ma
Jingxuan Kang
Binhui Xie
Zixun Sun
Chengwei Zhu
MoE
MoMe
42
0
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Fusion of regional and sparse attention in Vision Transformers
Fusion of regional and sparse attention in Vision Transformers
Nabil Ibtehaz
Ning Yan
Masood S. Mortazavi
Daisuke Kihara
ViT
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Dataset Enhancement with Instance-Level Augmentations
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Christian Rupprecht
45
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Low-Complexity Acoustic Scene Classification Using Parallel
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Guoqing Chen
Jialong Li
Yongjie Si
Qianhua He
29
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DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and
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Janek Ebbers
Constance Douwes
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Manu Harju
A. Mesaros
Romain Serizel
37
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KernelWarehouse: Rethinking the Design of Dynamic Convolution
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Anbang Yao
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Heterogeneous Learning Rate Scheduling for Neural Architecture Search on
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22
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Adapters Strike Back
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Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled
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Ming Hu
Feilong Tang
Wenxue Li
Wenhao Zheng
Lie Ju
Peibo Duan
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Zongyuan Ge
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8
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Audio-based Step-count Estimation for Running -- Windowing and Neural
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Mustafa Munir
R. Marculescu
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Mamba YOLO: SSMs-Based YOLO For Object Detection
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Chen Li
Huiying Xu
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Video-Language Understanding: A Survey from Model Architecture, Model
  Training, and Data Perspectives
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Thong Nguyen
Yi Bin
Junbin Xiao
Leigang Qu
Yicong Li
Jay Zhangjie Wu
Cong-Duy Nguyen
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Luu Anh Tuan
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Efficient Topology-aware Data Augmentation for High-Degree Graph Neural
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Xiaoyang Lin
Renchi Yang
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39
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Select-Mosaic: Data Augmentation Method for Dense Small Object Scenes
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Shuaijie Zhang
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26
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Diversifying and Expanding Frequency-Adaptive Convolution Kernels for
  Sound Event Detection
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Seong-Hu Kim
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C-Mamba: Channel Correlation Enhanced State Space Models for
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MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for
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ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract
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