Cover Image

Outlier-Robust Training of Machine Learning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Talak, Rajat, Georgiou, Charis, Shi, Jingnan, Carlone, Luca
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation
by: Yu, Xihang, et al.
Published: (2025)

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation
by: Shi, Jingnan, et al.
Published: (2024)

Uncertainty Quantification for Visual Object Pose Estimation
by: Shaikewitz, Lorenzo, et al.
Published: (2025)

Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling
by: Yu, Xihang, et al.
Published: (2026)

Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation
by: Jawaid, Mohsi, et al.
Published: (2024)

Image-based Outlier Synthesis With Training Data
by: Regmi, Sudarshan
Published: (2024)

Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers
by: Kong, Heejo, et al.
Published: (2025)

Quantile-based Maximum Likelihood Training for Outlier Detection
by: Taghikhah, Masoud, et al.
Published: (2023)

Conditional Unbalanced Optimal Transport Maps: An Outlier-Robust Framework for Conditional Generative Modeling
by: Yoon, Jiwoo, et al.
Published: (2026)

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
by: Lee, Dongyeun, et al.
Published: (2025)

Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation
by: Wu, Tong
Published: (2023)

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
by: Mirzaei, Hossein, et al.
Published: (2025)

Taylor Outlier Exposure
by: Fukuda, Kohei, et al.
Published: (2024)

FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector
by: Chen, Jiankang, et al.
Published: (2024)

Image Outlier Detection Without Training using RANSAC
by: Tsai, Chen-Han, et al.
Published: (2023)

TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
by: Chen, Jiankang, et al.
Published: (2024)

Harmonic Machine Learning Models are Robust
by: Kersting, Nicholas S., et al.
Published: (2024)

TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies
by: Liang, Guang, et al.
Published: (2025)

KISS-Matcher: Fast and Robust Point Cloud Registration Revisited
by: Lim, Hyungtae, et al.
Published: (2024)

Learning to Generate Training Datasets for Robust Semantic Segmentation
by: Hariat, Marwane, et al.
Published: (2023)

Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
by: Dang, Long, et al.
Published: (2025)

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
by: Li, Muyang, et al.
Published: (2024)

OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
by: Huang, Wei-Cheng, et al.
Published: (2024)

Outlier detection by ensembling uncertainty with negative objectness
by: Delić, Anja, et al.
Published: (2024)

Expanding the Role of Diffusion Models for Robust Classifier Training
by: Huang, Pin-Han, et al.
Published: (2026)

Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
by: Jiang, Kai, et al.
Published: (2025)

How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
by: Mansingh, Siddharth, et al.
Published: (2024)

Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networks
by: Niu, Muqun, et al.
Published: (2024)

Variance-Aware Adaptive Weighting for Diffusion Model Training
by: Sun, Nanlong, et al.
Published: (2026)

Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification
by: Li, Xinke, et al.
Published: (2023)

CLIP-driven Outliers Synthesis for few-shot OOD detection
by: Sun, Hao, et al.
Published: (2024)

Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS
by: Fu, Hao, et al.
Published: (2024)

AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
by: Yang, Puning, et al.
Published: (2023)

VCT: Training Consistency Models with Variational Noise Coupling
by: Silvestri, Gianluigi, et al.
Published: (2025)

A Principled Framework for Multi-View Contrastive Learning
by: Koromilas, Panagiotis, et al.
Published: (2025)

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
by: Croce, Francesco, et al.
Published: (2023)

Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
by: Liu, Zhenyu, et al.
Published: (2024)

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning
by: Ghofrani, Fatemeh, et al.
Published: (2025)

H2OFlow: Grounding Human-Object Affordances with 3D Generative Models and Dense Diffused Flows
by: Zhang, Harry, et al.
Published: (2025)

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay
by: Yu, Yongcan, et al.
Published: (2024)