mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion Kaizhe Hu Zihang Rui Yao He Yuyao Liu Pu Hua Huazhe Xu 38 1 0 07 Nov 2024
Progressive Multi-Level Alignments for Semi-Supervised Domain Adaptation SAR Target Recognition Using Simulated Data Xinzheng Zhang Hui Zhu Hongqian Zhuang 33 0 0 07 Nov 2024
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation Tao Wang Xinlin Zhang Yuanbin Chen Yuanbo Zhou Longxuan Zhao T. Tan Tong Tong 22 0 0 07 Nov 2024
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition Xinzheng Zhang Yuqing Luo Guopeng Li 34 0 0 06 Nov 2024
Optimal Defenses Against Gradient Reconstruction Attacks Yuxiao Chen Gamze Gürsoy Qi Lei FedML AAML 31 0 0 06 Nov 2024
SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in Industrial applications Daehwan Kim Hyungmin Kim Daun Jeong Sungho Suh Hansang Cho 37 0 0 05 Nov 2024
ShadowMamba: State-Space Model with Boundary-Region Selective Scan for Shadow Removal Xiujin Zhu Chee-Onn Chow Joon Huang Chuah Mamba 42 0 0 05 Nov 2024
Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading Sharon Chokuwa M. H. Khan 24 1 0 04 Nov 2024
Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation Yan Li Weiwei Guo Xue Yang Ning Liao Shaofeng Zhang Yi Yu Wenxian Yu Junchi Yan ObjD 38 0 0 04 Nov 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models Junjiao Tian Chengyue Huang Z. Kira 31 1 0 03 Nov 2024
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels F. Cordeiro G. Carneiro NoLa 33 1 0 03 Nov 2024
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation Seongsu Ha Chaeyun Kim Donghwa Kim Junho Lee Sangho Lee Joonseok Lee 50 2 0 03 Nov 2024
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning Simon Rampp M. Milling Andreas Triantafyllopoulos Björn Schuller 31 1 0 01 Nov 2024
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks David A. Danhofer 27 0 0 01 Nov 2024
Angular Distance Distribution Loss for Audio Classification Antonio Almudévar Romain Serizel Alfonso Ortega 23 0 0 31 Oct 2024
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization A. Kazemi Qurat ul ain Fatima Volodymyr V. Kindratenko Christopher Tessum 40 0 0 31 Oct 2024
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition Hanchao Liu Yujiang Li Tai-Jiang Mu Shi-Min Hu 32 0 0 31 Oct 2024
Mutual Information Preserving Neural Network Pruning Charles Westphal Stephen Hailes Mirco Musolesi 45 1 0 31 Oct 2024
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction Qidong Yang Weicheng Zhu Joseph Keslin L. Zanna Tim G. J. Rudner Carlos Fernandez-Granda BDL UQCV AI4TS 46 0 0 30 Oct 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou Weizhi Gao Yuchen Shen Feiyi Wang Xiaorui Liu VLM 28 2 0 30 Oct 2024
First Place Solution to the ECCV 2024 ROAD++ Challenge @ ROAD++ Spatiotemporal Agent Detection 2024 Tengfei Zhang Heng Zhang Ruyang Li Qi Deng Yaqian Zhao Rengang Li MQ 20 0 0 30 Oct 2024
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets Adrian Iordache B. Alexe Radu Tudor Ionescu 31 1 0 29 Oct 2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier Pin-Yen Huang Szu-Wei Fu Yu Tsao 32 0 0 29 Oct 2024
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels Shumpei Takezaki Kiyohito Tanaka S. Uchida NoLa 20 0 0 29 Oct 2024
Decoupled Data Augmentation for Improving Image Classification Ruoxin Chen Zhe Wang Ke-Yue Zhang Shuang Wu Jiamu Sun Shouli Wang Taiping Yao Shouhong Ding DiffM 34 2 0 29 Oct 2024
Semi-Supervised Self-Learning Enhanced Music Emotion Recognition Yifu Sun Xulong Zhang Monan Zhou Wei Li 35 0 0 29 Oct 2024
ByteNet: Rethinking Multimedia File Fragment Classification through Visual Perspectives Wenyang Liu Kejun Wu Tianyi Liu Yi Wang Kim-Hui Yap Lap-Pui Chau 32 3 0 28 Oct 2024
Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory Prediction Siyuan Chen Jiahai Wang 38 10 0 28 Oct 2024
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection Hwan Kim Junghoon Kim Sungsu Lim 24 0 0 27 Oct 2024
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs Yuto Shibata Yasunori Kudo Yohei Sugawara 21 0 0 26 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng R. Li Jundong Li Kaize Ding OOD 47 2 0 25 Oct 2024
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance Omer Nahum Nitay Calderon Orgad Keller Idan Szpektor Roi Reichart 23 2 0 24 Oct 2024
Enhancing pretraining efficiency for medical image segmentation via transferability metrics Gábor Hidy Bence Bakos András Lukács 25 1 0 24 Oct 2024
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 123 4 2 24 Oct 2024
Unified Microphone Conversion: Many-to-Many Device Mapping via Feature-wise Linear Modulation Myeonghoon Ryu Hongseok Oh Suji Lee Han Park 18 0 0 23 Oct 2024
Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression Recognition Jie Song Mengqiao He Jinhua Feng B. S. 22 0 0 23 Oct 2024
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation Muquan Li Dongyang Zhang Tao He Xiurui Xie Yuan-Fang Li Ke Qin 18 1 0 23 Oct 2024
GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models Zhixia He Chen Zhao Minglai Shao Yujie Lin Dong Li Q. Tian DiffM 35 4 0 23 Oct 2024
Scalable Implicit Graphon Learning Ali Azizpour Nicolas Zilberstein Santiago Segarra GNN 36 0 0 22 Oct 2024
NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation Jiamu Wang Jin Tae Kwak 24 0 0 22 Oct 2024
Neural Scoring, Not Embedding: A Novel Framework for Robust Speaker Verification Wan Lin Junhui Chen Tianhao Wang Zhenyu Zhou Lantian Li D. Wang 24 0 0 21 Oct 2024
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation Ruting Chi Zhiyi Huang Yuexing Han ISeg 25 0 0 21 Oct 2024
Granularity Matters in Long-Tail Learning Shizhen Zhao Xin Wen J. Liu Chuofan Ma C. Yuan Xiaojuan Qi 29 0 0 21 Oct 2024
Random Token Fusion for Multi-View Medical Diagnosis Jingyu Guo Christos Matsoukas Fredrik Strand Kevin Smith MedIm 24 0 0 21 Oct 2024
Non-invasive Neural Decoding in Source Reconstructed Brain Space Yonatan Gideoni Ryan Charles Timms Oiwi Parker Jones 40 1 0 20 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
Stochastic Gradient Descent Jittering for Inverse Problems: Alleviating the Accuracy-Robustness Tradeoff Peimeng Guan Mark A. Davenport 28 0 0 18 Oct 2024
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance Jiwan Hur Dong-Jae Lee Gyojin Han Jaehyun Choi Yunho Jeon Junmo Kim DiffM 30 0 0 17 Oct 2024
SDI-Paste: Synthetic Dynamic Instance Copy-Paste for Video Instance Segmentation Sahir Shrestha Weihao Li Gao Zhu Nick Barnes DiffM 31 0 0 16 Oct 2024
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look Yong Zhang Rui Zhu Shifeng Zhang Xu Zhou Shifeng Chen Xiaofan Chen SSL 38 0 0 16 Oct 2024