mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,964 papers shown

Title
MoH: Multi-Head Attention as Mixture-of-Head Attention Peng Jin Bo Zhu Li Yuan Shuicheng Yan MoE 31 13 0 15 Oct 2024
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation Zhan Fa Shumeng Li Jian Zhang Lei Qi Qian Yu Yinghuan Shi 28 0 0 15 Oct 2024
FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning Xinpeng Wang Xiaoying Tang Xiaoying Tang FedML 28 2 0 15 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure X. Zhang Sin Chee Chin Tingxuan Gao Wenming Yang 33 0 0 14 Oct 2024
V2M: Visual 2-Dimensional Mamba for Image Representation Learning Chengkun Wang Wenzhao Zheng Yuanhui Huang Jie Zhou Jiwen Lu Mamba 30 0 0 14 Oct 2024
Locality Alignment Improves Vision-Language Models Ian Covert Tony Sun James Y. Zou Tatsunori Hashimoto VLM 67 3 0 14 Oct 2024
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization Tianshi Xu Shuzhang Zhong Wenxuan Zeng Runsheng Wang Meng Li MQ 29 0 0 12 Oct 2024
ALVIN: Active Learning Via INterpolation Michalis Korakakis Andreas Vlachos Adrian Weller 28 0 0 11 Oct 2024
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention Nguyen Huu Bao Long Chenyu Zhang Yuzhi Shi Tsubasa Hirakawa Takayoshi Yamashita Tohgoroh Matsui H. Fujiyoshi 31 2 0 11 Oct 2024
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction Steven Rogulsky Nicholas Popovic Michael Färber HILM 30 1 0 10 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 30 6 0 10 Oct 2024
BA-Net: Bridge Attention in Deep Neural Networks Ronghui Zhang Runzong Zou Yue Zhao Zirui Zhang Junzhou Chen Yue Cao Chuan Hu Houbing Song 33 0 0 10 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 29 0 0 10 Oct 2024
3D Vision-Language Gaussian Splatting Qucheng Peng Benjamin Planche Zhongpai Gao Meng Zheng Anwesa Choudhuri Terrence Chen C. L. P. Chen Ziyan Wu 3DGS 39 4 0 10 Oct 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization Chengtao Jian Kai Yang Yang Jiao AI4TS 29 3 0 09 Oct 2024
Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis Ahmed Abdullah Nikolas Ebert Oliver Wasenmüller ObjD 30 1 0 09 Oct 2024
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model Fei Xie Weijia Zhang Zhongdao Wang Chao Ma Mamba 24 3 0 09 Oct 2024
MatMamba: A Matryoshka State Space Model Abhinav Shukla Sai H. Vemprala Aditya Kusupati Ashish Kapoor Mamba 28 0 0 09 Oct 2024
MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolution Wentao Chao Fuqing Duan Yulan Guo Guanghui Wang 32 1 0 09 Oct 2024
JPEG Inspired Deep Learning Ahmed H. Salamah Kaixiang Zheng Yiwen Liu E. Yang 27 0 0 09 Oct 2024
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning Siyuan Li Juanxi Tian Zedong Wang Luyuan Zhang Zicheng Liu Weiyang Jin Yang Liu Baigui Sun Stan Z. Li 34 0 0 08 Oct 2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gael Gendron Michael Witbrock Gillian Dobbie CML BDL OOD 36 0 0 08 Oct 2024
Harnessing the Power of Noise: A Survey of Techniques and Applications Reyhaneh Abdolazimi Shengmin Jin Pramod K. Varshney Reza Zafarani 23 0 0 08 Oct 2024
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing Andreas Loukas Karolis Martinkus Ed Wagstaff Kyunghyun Cho OOD 28 1 0 08 Oct 2024
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data Yang Ba M. Mancenido Rong Pan SyDa 21 1 0 07 Oct 2024
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning Ray Congrui Yu Sherry Wu Jiang Gui 44 1 0 07 Oct 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 100 0 0 07 Oct 2024
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective Jonghyun Park Juyeop Kim Jong-Seok Lee 23 1 0 05 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification Kelsey Lieberman Swarna Kamlam Ravindran Shuai Yuan Carlo Tomasi OOD 35 0 0 04 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 34 0 0 04 Oct 2024
Generalizable Prompt Tuning for Vision-Language Models Qian Zhang VLM VPVLM 50 0 0 04 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation Mucong Ding Bang An Yuancheng Xu Anirudh Satheesh Furong Huang 24 1 0 03 Oct 2024
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness Boqian Wu Q. Xiao Shunxin Wang N. Strisciuglio Mykola Pechenizkiy M. V. Keulen D. Mocanu Elena Mocanu OOD 3DH 52 0 0 03 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 57 0 0 02 Oct 2024
TAEGAN: Generating Synthetic Tabular Data For Data Augmentation Jiayu Li Zilong Zhao Kevin Yee Uzair Javaid Biplab Sikdar LMTD 37 1 0 02 Oct 2024
Data Extrapolation for Text-to-image Generation on Small Datasets Senmao Ye Fei Liu 33 0 0 02 Oct 2024
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks Edan Kinderman Itay Hubara Haggai Maron Daniel Soudry MoMe 47 0 0 02 Oct 2024
DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification Yooseung Shin Kwanseok Oh Heung-Il Suk 32 0 0 02 Oct 2024
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups Jingyu Hu Jun Hong Mengnan Du Weiru Liu 26 0 0 02 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture Dengsheng Chen Jie Hu Xiaoming Wei Enhua Wu DiffM 52 2 0 02 Oct 2024
WiGNet: Windowed Vision Graph Neural Network Gabriele Spadaro Marco Grangetto A. Fiandrotti Enzo Tartaglione Jhony H. Giraldo 18 0 0 01 Oct 2024
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation Catherine Yeh Donghao Ren Yannick Assogba Dominik Moritz Fred Hohman 36 0 0 01 Oct 2024
Enhancing Romanian Offensive Language Detection through Knowledge Distillation, Multi-Task Learning, and Data Augmentation Vlad-Cristian Matei Iulian-Marius Taiatu Razvan-Alexandru Smadu Dumitru-Clementin Cercel 19 1 0 30 Sep 2024
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 38 1 0 30 Sep 2024
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization Nikos Efthymiadis Giorgos Tolias Ondřej Chum OOD 20 0 0 29 Sep 2024
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks Zeyu Zhang Lu Li Shuyan Wan Sijie Wang Zhiyi Wang Zhiyuan Lu Dong Hao Wanli Li 33 2 0 29 Sep 2024
UniEmoX: Cross-modal Semantic-Guided Large-Scale Pretraining for Universal Scene Emotion Perception Chuang Chen X. Sun Zhi Liu 31 0 0 27 Sep 2024
Student-Oriented Teacher Knowledge Refinement for Knowledge Distillation Chaomin Shen Yaomin Huang Haokun Zhu Jinsong Fan Guixu Zhang 21 0 0 27 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 34 0 0 26 Sep 2024
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning Song Wang Zhongdao Wang Jiawei Yu Wentong Li Bailan Feng Junbo Chen Jianke Zhu UQCV 31 3 0 26 Sep 2024