mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis Yin Li Yu Xiong Wenxin Fan Kai Wang Qingqing Yu Liping Si Patrick van der Smagt Jun Tang Nutan Chen 35 1 0 21 Jan 2024
Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs P. Baggenstoss Kevin Wilkinghoff F. Govaers Frank Kurth 28 1 0 20 Jan 2024
Generalizing Speaker Verification for Spoof Awareness in the Embedding Space Xuechen Liu Md. Sahidullah K. Lee Tomi Kinnunen AAML 44 7 0 20 Jan 2024
Simultaneous Gesture Classification and Localization with an Automatic Gesture Annotation Model Junxiao Shen X. Xu Ran Tan Amy Karlson Evan Strasnick 28 1 0 20 Jan 2024
Data Augmentation for Traffic Classification Chao Wang A. Finamore Pietro Michiardi Massimo Gallo Dario Rossi 44 6 0 19 Jan 2024
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu MDE 16 3 0 18 Jan 2024
Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation Changgu Chen Junwei Shu Lianggangxu Chen Gaoqi He Changbo Wang VGen 22 14 0 18 Jan 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers Tuc Nguyen Thai Le AAML SILM MoE 19 2 0 18 Jan 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 36 2 0 18 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Keli Zhang Xavier Bresson Xinchao Wang Roger Zimmermann 44 4 0 18 Jan 2024
BlenDA: Domain Adaptive Object Detection through diffusion-based blending Tzuhsuan Huang Chen-Che Huang Chung-Hao Ku Jun-Cheng Chen 38 5 0 18 Jan 2024
On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations Matthew C. McCallum Matthew E. P. Davies Florian Henkel Jaehun Kim Samuel E. Sandberg 33 6 0 17 Jan 2024
Scalable Pre-training of Large Autoregressive Image Models Alaaeldin El-Nouby Michal Klein Shuangfei Zhai Miguel Angel Bautista Alexander Toshev Vaishaal Shankar J. Susskind Armand Joulin VLM 33 72 0 16 Jan 2024
Probabilistically Robust Watermarking of Neural Networks Mikhail Aleksandrovich Pautov Nikita Bogdanov Stanislav Pyatkin Oleg Y. Rogov Ivan Oseledets AAML 36 5 0 16 Jan 2024
Robust Semi-Supervised Learning for Self-learning Open-World Classes Wenjuan Xi Xin Song Weili Guo Yang Yang 58 13 0 15 Jan 2024
MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition Fan Zhang Xiaobao Guo Xiaojiang Peng Alex C. Kot 27 0 0 14 Jan 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models Mingli Zhu Zihao Zhu Sihong Chen Chen Chen Baoyuan Wu CLL 42 3 0 14 Jan 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels Chen-Chen Zong Ye-Wen Wang Ming-Kun Xie Sheng-Jun Huang 26 5 0 13 Jan 2024
Image edge enhancement for effective image classification Tianhao Bu Michalis Lazarou Tania Stathaki 21 2 0 13 Jan 2024
Microphone Conversion: Mitigating Device Variability in Sound Event Classification Myeonghoon Ryu Hongseok Oh Suji Lee Han Park 37 4 0 12 Jan 2024
YOLO-Former: YOLO Shakes Hand With ViT J. Khoramdel A. Moori Y. Borhani A. Ghanbarzadeh Esmaeil Najafi ViT 24 2 0 11 Jan 2024
Contrastive Loss Based Frame-wise Feature disentanglement for Polyphonic Sound Event Detection Yadong Guan Jiqing Han Hongwei Song Wenjie Song Guibin Zheng Tieran Zheng Yongjun He 33 0 0 11 Jan 2024
Learn From Zoom: Decoupled Supervised Contrastive Learning For WCE Image Classification Kunpeng Qiu Zhiying Zhou Yongxin Guo 39 2 0 11 Jan 2024
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification Adrian Gheorghiu Iulian-Marius Taiatu Dumitru-Clementin Cercel Iuliana Marin Florin-Catalin Pop 57 2 0 11 Jan 2024
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition John Fischer Marko Orescanin Eric Eckstrand UQCV BDL 34 4 0 10 Jan 2024
Full-frequency dynamic convolution: a physical frequency-dependent convolution for sound event detection Haobo Yue Zhicheng Zhang Da Mu Yonghao Dang Jianqin Yin Jin Tang 35 0 0 10 Jan 2024
Revisiting Adversarial Training at Scale Zeyu Wang Xianhang Li Hongru Zhu Cihang Xie 43 16 0 09 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 32 5 0 09 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning Kuo Yang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang 35 0 0 09 Jan 2024
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 28 2 0 09 Jan 2024
Setting the Record Straight on Transformer Oversmoothing G. Dovonon M. Bronstein Matt J. Kusner 38 5 0 09 Jan 2024
Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking S. B. Rabbani Ivan V. Medri Manar D. Samad 31 8 0 08 Jan 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations Helen Qu Sang Michael Xie 28 5 0 08 Jan 2024
Fully Attentional Networks with Self-emerging Token Labeling Bingyin Zhao Zhiding Yu Shiyi Lan Yutao Cheng A. Anandkumar Yingjie Lao Jose M. Alvarez 988 6 0 08 Jan 2024
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer Wenxi Chen Yuzhe Liang Ziyang Ma Zhisheng Zheng Xie Chen ViT 54 18 0 07 Jan 2024
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 25 0 0 06 Jan 2024
The Rise of Diffusion Models in Time-Series Forecasting Caspar Meijer Lydia Y. Chen DiffM AI4TS 37 9 0 05 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 19 1 0 05 Jan 2024
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations SeokHyun Seo Jinwoo Hong Jungwoo Chae Kyungyul Kim Sangheum Hwang 40 0 0 05 Jan 2024
Unsupervised hard Negative Augmentation for contrastive learning Yuxuan Shu Vasileios Lampos 23 1 0 05 Jan 2024
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket Zhaokun Zhou Kaiwei Che Wei Fang Keyu Tian Yuesheng Zhu Shuicheng Yan Yonghong Tian Liuliang Yuan ViT 43 29 0 04 Jan 2024
A Vision Check-up for Language Models Pratyusha Sharma Tamar Rott Shaham Manel Baradad Stephanie Fu Adrian Rodriguez-Munoz Shivam Duggal Phillip Isola Antonio Torralba VLM LRM 78 24 0 03 Jan 2024
Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling Himmet Toprak Kesgin M. Amasyalı 26 7 0 03 Jan 2024
Few-shot Image Generation via Information Transfer from the Built Geodesic Surface Yuexing Han Liheng Ruan Bing Wang 37 1 0 03 Jan 2024
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition Julian Strohmayer Martin Kampel 24 3 0 01 Jan 2024
Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets Payam Karisani 31 1 0 31 Dec 2023
Analyzing Local Representations of Self-supervised Vision Transformers Ani Vanyan Alvard Barseghyan Hakob Tamazyan Vahan Huroyan Hrant Khachatrian Martin Danelljan 57 3 0 31 Dec 2023
SHARE: Single-view Human Adversarial REconstruction Shreelekha Revankar Shijia Liao Yu Shen Junbang Liang Huaishu Peng Ming-Chyuan Lin 3DH 44 0 0 30 Dec 2023
Distance Guided Generative Adversarial Network for Explainable Binary Classifications Xiangyu Xiong Yue Sun Xiaohong Liu Wei Ke C. Lam ... Hui Xie Tong Tong Qinquan Gao Haoming Chen Tao Tan GAN 29 0 0 29 Dec 2023
Noise-free Optimization in Early Training Steps for Image Super-Resolution MinKyu Lee Jae-Pil Heo 21 4 0 29 Dec 2023