Xiaobo Xia

papers

544

total citations

papers (18)

Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization

CVPR 2023arXiv

citations

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources

NEURIPS 2023arXiv

citations

LaVin-DiT: Large Vision Diffusion Transformer

CVPR 2025arXiv

citations

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs

AAAI 2025arXiv

citations

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints

ICML 2024arXiv

citations

Mitigating Label Noise on Graphs via Topological Sample Selection

ICML 2024arXiv

citations

Where, What, Why: Towards Explainable Driver Attention Prediction

ICCV 2025arXiv

citations

L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models

NEURIPS 2025arXiv

citations

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation

NEURIPS 2025arXiv

citations

Holistic Label Correction for Noisy Multi-Label Classification

ICCV 2023

citations

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

ICCV 2023

citations

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

NEURIPS 2022

citations

Pluralistic Image Completion with Gaussian Mixture Models

NEURIPS 2022

citations

Towards Realistic Model Selection for Semi-supervised Learning

ICML 2024

citations

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE

NEURIPS 2022

citations

Xiaobo Xia

papers (18)

Selective-Supervised Contrastive Learning With Noisy Labels

HumanMAC: Masked Motion Completion for Human Motion Prediction

Part-dependent Label Noise: Towards Instance-dependent Label Noise

Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources

LaVin-DiT: Large Vision Diffusion Transformer

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints

Mitigating Label Noise on Graphs via Topological Sample Selection

Where, What, Why: Towards Explainable Driver Attention Prediction

L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation

Holistic Label Correction for Noisy Multi-Label Classification

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

Pluralistic Image Completion with Gaussian Mixture Models

Towards Realistic Model Selection for Semi-supervised Learning

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE

papers (18)

Selective-Supervised Contrastive Learning With Noisy Labels

HumanMAC: Masked Motion Completion for Human Motion Prediction

Part-dependent Label Noise: Towards Instance-dependent Label Noise

Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources

LaVin-DiT: Large Vision Diffusion Transformer

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints

Mitigating Label Noise on Graphs via Topological Sample Selection

Where, What, Why: Towards Explainable Driver Attention Prediction

L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation

Holistic Label Correction for Noisy Multi-Label Classification

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

Pluralistic Image Completion with Gaussian Mixture Models

Towards Realistic Model Selection for Semi-supervised Learning

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE