Over-training with Mixup May Hurt Generalization

Over-training with Mixup May Hurt Generalization

2 March 2023

Papers citing "Over-training with Mixup May Hurt Generalization"

14 / 14 papers shown

Title
Generalizable Prompt Tuning for Vision-Language Models Qian Zhang VLM VPVLM 52 0 0 04 Oct 2024
Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification Raja Kumar Raghav Singhal Pranamya Kulkarni Deval Mehta Kshitij Jadhav 23 0 0 26 Sep 2024
MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning Wenjin Zhang Keyi Li Sen Yang Chenyang Gao Wanzhao Yang Sifan Yuan I. Marsic 36 1 0 10 May 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
Semantic Equivariant Mixup Zongbo Han Tianchi Xie Bing Wu Qinghua Hu Changqing Zhang AAML 70 0 0 12 Aug 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors Paul S. Scotti Atmadeep Banerjee J. Goode Stepan Shabalin A. Nguyen ... Nathalie Verlinde Elad Yundler David Weisberg K. A. Norman Tanishq Mathew Abraham DiffM 36 106 0 29 May 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 30 6 0 26 May 2023
Semi-Supervised Graph Imbalanced Regression Gang Liu Tong Zhao Eric Inae Te Luo Meng Jiang 24 19 0 20 May 2023
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond Thanh Vu Baochen Sun Bodi Yuan Alex Ngai Yueqi Li Jan-Michael Frahm 20 1 0 18 Mar 2023
Multi-scale Feature Learning Dynamics: Insights for Double Descent Mohammad Pezeshki Amartya Mitra Yoshua Bengio Guillaume Lajoie 61 25 0 06 Dec 2021
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective Junzhe Zhang Haochuan Li S. Sra Ali Jadbabaie 66 9 0 12 Oct 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting Chengyu Dong Liyuan Liu Jingbo Shang NoLa AAML 56 18 0 07 Oct 2021
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang Yongyi Mao FedML MLT 37 22 0 07 Oct 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 287 2,890 0 15 Sep 2016