Title
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records Yuhao Li Ling Luo Uwe Aickelin 34 0 0 12 May 2025
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression Chunlai Dong Haochao Ying Qibo Qiu Jinhong Wang Danny Chen Junfei Wu 49 0 0 09 May 2025
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs Hari Chandana Kuchibhotla Sai Srinivas Kancheti Abbavaram Gowtham Reddy Vineeth N. Balasubramanian 45 0 0 02 May 2025
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Kuan Zhang Chengliang Chai Jingzhe Xu Chi Zhang Ye Yuan Guoren Wang Lei Cao NoLa 66 0 0 01 May 2025
Neural network task specialization via domain constraining Roman Malashin Daniil Ilyukhin 49 0 0 28 Apr 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Emiliano Penaloza Tianyue H. Zhan Laurent Charlin Mateo Espinosa Zarlenga 51 0 0 25 Apr 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data Weiran Pan Wei Wei Feida Zhu Yong Deng NoLa 218 0 0 24 Apr 2025
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 49 2 0 23 Apr 2025
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Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 67 0 0 18 Feb 2025
Generalized Class Discovery in Instance Segmentation Cuong Manh Hoang Yeejin Lee Byeongkeun Kang ISeg 92 0 0 12 Feb 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 104 17 0 11 Feb 2025
Captured by Captions: On Memorization and its Mitigation in CLIP Models Wenhao Wang Adam Dziedzic Grace C. Kim Michael Backes Franziska Boenisch 93 0 0 11 Feb 2025
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 63 0 0 12 Jan 2025
Open set label noise learning with robust sample selection and margin-guided module Yuandi Zhao Qianxi Xia Yang Sun Zhijie Wen Liyan Ma Shihui Ying NoLa 49 0 0 08 Jan 2025
Knowledge Distillation with Adapted Weight Sirong Wu Xi Luo Junjie Liu Yuhui Deng 48 0 0 06 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 52 2 0 31 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 203 0 0 01 Dec 2024
Structure Language Models for Protein Conformation Generation Jiarui Lu Xiaoyin Chen Stephen Zhewen Lu Chence Shi Hongyu Guo Yoshua Bengio Xiangbo Shu DiffM 44 2 0 24 Oct 2024
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models Donghao Zhou Jiancheng Huang J. Bai Jiaze Wang Hao Chen Guangyong Chen Xiaowei Hu Pheng Ann Heng 47 5 0 17 Oct 2024
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Sajad Movahedi Antonio Orvieto Seyed-Mohsen Moosavi-Dezfooli AI4CE AAML 198 0 0 15 Oct 2024
SHAP values via sparse Fourier representation Ali Gorji Andisheh Amrollahi A. Krause FAtt 38 0 0 08 Oct 2024
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning Ray Congrui Yu Sherry Wu Jiang Gui 47 1 0 07 Oct 2024
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization Francisco Daunas I. Esnaola S. Perlaza H. Vincent Poor 38 2 0 02 Oct 2024
Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks Ali Mehrabian Parsa Mojarad Adi Moein Heidari I. Hacihaliloglu 38 3 0 14 Sep 2024
AMNS: Attention-Weighted Selective Mask and Noise Label Suppression for Text-to-Image Person Retrieval Runqing Zhang Xue Zhou 38 1 0 10 Sep 2024
Adaptive Mix for Semi-Supervised Medical Image Segmentation Zhiqiang Shen Peng Cao Junming Su Jinzhu Yang Osmar R. Zaiane 51 0 0 31 Jul 2024
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis Stefan Horoi Albert Manuel Orozco Camacho Eugene Belilovsky Guy Wolf FedML MoMe 35 9 0 07 Jul 2024
Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks Amit Peleg Matthias Hein 39 0 0 04 Jul 2024
DLP: towards active defense against backdoor attacks with decoupled learning process Zonghao Ying Bin Wu AAML 46 6 0 18 Jun 2024
How Do Large Language Models Acquire Factual Knowledge During Pretraining? Hoyeon Chang Jinho Park Seonghyeon Ye Sohee Yang Youngkyung Seo Du-Seong Chang Minjoon Seo KELM 37 33 0 17 Jun 2024
Just How Flexible are Neural Networks in Practice? Ravid Shwartz-Ziv Micah Goldblum Arpit Bansal C. Bayan Bruss Yann LeCun Andrew Gordon Wilson 45 4 0 17 Jun 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 51 4 0 07 May 2024
Beyond MOS: Subjective Image Quality Score Preprocessing Method Based on Perceptual Similarity Lei Wang Desen Yuan 49 2 0 30 Apr 2024
MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition Felix M. Schmitt-Koopmann Elaine M. Huang Hans-Peter Hutter Thilo Stadelmann Alireza Darvishy 32 4 0 21 Apr 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 35 2 0 08 Apr 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis Junlin Hou Jilan Xu Rui Feng Hao Chen 23 0 0 08 Apr 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning Vinay Chakravarthi Gogineni E. Nadimi MU 31 1 0 12 Mar 2024
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval Haocheng Han Qinghua Zheng Guangwen Dai Minnan Luo Jingdong Wang 32 5 0 08 Mar 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 103 19 0 04 Mar 2024
$ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning$ ROG $_{PL}$ : Robust Open-Set Graph Learning via Region-Based Prototype Learning Qin Zhang Xiaowei Li Jiexin Lu Liping Qiu Shirui Pan Xiaojun Chen Junyang Chen 63 1 0 28 Feb 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction Jianwei Wang Tianyin Wang Ziqian Zeng 60 1 0 28 Feb 2024
CMC: Few-shot Novel View Synthesis via Cross-view Multiplane Consistency Hanxin Zhu Tianyu He Zhibo Chen 41 4 0 26 Feb 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 33 2 0 07 Feb 2024
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement Aaqib Saeed Dimitris Spathis Jungwoo Oh Edward Choi Ali Etemad NoLa 31 2 0 25 Jan 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong kyu Lee Qiuchen Zhang Carl Yang Jian Lou Li Xiong MU SSL 21 4 0 19 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
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding Talfan Evans Shreya Pathak Hamza Merzic Jonathan Schwarz Ryutaro Tanno Olivier J. Hénaff 20 16 0 08 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023