Cover Image

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Ming-Kun, Xiao, Jia-Hao, Peng, Pei, Niu, Gang, Sugiyama, Masashi, Huang, Sheng-Jun
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
by: Xiao, Jia-Hao, et al.
Published: (2024)

Rethinking Consistent Multi-Label Classification Under Inexact Supervision
by: Wang, Wei, et al.
Published: (2025)

Multi-Label Knowledge Distillation
by: Yang, Penghui, et al.
Published: (2023)

A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation
by: Sun, Feng, et al.
Published: (2022)

Are Multimodal Large Language Models Good Annotators for Image Tagging?
by: Xie, Ming-Kun, et al.
Published: (2026)

Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
by: Fan, Heng-Bo, et al.
Published: (2024)

Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
by: Peng, Pei, et al.
Published: (2025)

What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?
by: Xie, Ming-Kun, et al.
Published: (2025)

Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective
by: Kou, Zhiqiang, et al.
Published: (2025)

Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
by: Wang, Wei, et al.
Published: (2023)

Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation
by: Xu, Jie, et al.
Published: (2025)

Decoupling the Class Label and the Target Concept in Machine Unlearning
by: Zhu, Jianing, et al.
Published: (2024)

Towards Scalable Oversight with Collaborative Multi-Agent Debate in Error Detection
by: Chen, Yongqiang, et al.
Published: (2025)

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
by: Zong, Chen-Chen, et al.
Published: (2024)

Realistic Evaluation of Deep Partial-Label Learning Algorithms
by: Wang, Wei, et al.
Published: (2025)

Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation
by: Kou, Zhiqiang, et al.
Published: (2025)

VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction
by: Cai, Xin-Qiang, et al.
Published: (2026)

Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes
by: Mai, Tan-Ha, et al.
Published: (2026)

Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning
by: Wang, Bing, et al.
Published: (2026)

A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
by: Nakamura, Shintaro, et al.
Published: (2023)

Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms
by: Wang, Wei, et al.
Published: (2025)

BrokenBind: Universal Modality Exploration beyond Dataset Boundaries
by: Huang, Zhuo, et al.
Published: (2026)

Multi-Player Approaches for Dueling Bandits
by: Raveh, Or, et al.
Published: (2024)

Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
by: Zhang, Yu-Jie, et al.
Published: (2025)

Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
by: Zhang, Zhen-Yu, et al.
Published: (2024)

In-context Demonstration Matters: On Prompt Optimization for Pseudo-Supervision Refinement
by: Zhang, Zhen-Yu, et al.
Published: (2024)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
by: Chen, Hao, et al.
Published: (2023)

Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
by: Zhang, Yu-Jie, et al.
Published: (2025)

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
by: Chen, Hao, et al.
Published: (2023)

Weak-to-Strong Diffusion with Reflection
by: Bai, Lichen, et al.
Published: (2025)

Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification
by: Yan, Jiexuan, et al.
Published: (2024)

What Is Preference Optimization Doing, and Why?
by: Wang, Yue, et al.
Published: (2025)

Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
by: Rauch, Lukas, et al.
Published: (2025)

Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
by: Fan, Yijia, et al.
Published: (2025)

Improving Clinical Diagnosis with Counterfactual Multi-Agent Reasoning
by: You, Zhiwen, et al.
Published: (2026)

Towards Scalable Oversight via Partitioned Human Supervision
by: Yin, Ren, et al.
Published: (2025)

HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
by: Ouyang, Shuyi, et al.
Published: (2024)

VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
by: Braun, Guillaume, et al.
Published: (2024)

Riemannian Langevin Dynamics: Strong Convergence of Geometric Euler-Maruyama Scheme
by: Zhan, Zhiyuan, et al.
Published: (2026)

Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
by: Zhang, Yivan, et al.
Published: (2023)