Cover Image

Normalized Conditional Mutual Information Surrogate Loss for Deep Neural Classifiers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Linfeng, Chi, Zhixiang, Plataniotis, Konstantinos N., Yang, En-hui
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Information-Guided Diffusion Sampling for Dataset Distillation
by: Ye, Linfeng, et al.
Published: (2025)

Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
by: Ye, Linfeng, et al.
Published: (2024)

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
by: Wu, Yanan, et al.
Published: (2023)

Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving
by: Yang, Haobo, et al.
Published: (2024)

Difficulty-guided Sampling: Bridging the Target Gap between Dataset Distillation and Downstream Tasks
by: Li, Mingzhuo, et al.
Published: (2026)

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging
by: Ye, Linfeng, et al.
Published: (2026)

SAS: Semantic-aware Sampling for Generative Dataset Distillation
by: Li, Mingzhuo, et al.
Published: (2026)

Insights from Gradient Dynamics: Gradient Autoscaled Normalization
by: Yun, Vincent-Daniel
Published: (2025)

Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges
by: Zhu, Ethan, et al.
Published: (2024)

Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
by: Zhao, Wenyuan, et al.
Published: (2025)

Exploiting Information Redundancy in Attention Maps for Extreme Quantization of Vision Transformers
by: Maisonnave, Lucas, et al.
Published: (2025)

Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach
by: Darabi, Nastaran, et al.
Published: (2024)

Towards Undistillable Models by Minimizing Conditional Mutual Information
by: Ye, Linfeng, et al.
Published: (2025)

Codebook-enabled Generative End-to-end Semantic Communication Powered by Transformer
by: Ye, Peigen, et al.
Published: (2024)

ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications
by: Wu, Tong, et al.
Published: (2025)

TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
by: Quétant, Guillaume, et al.
Published: (2025)

Adapting to Distribution Shift by Visual Domain Prompt Generation
by: Chi, Zhixiang, et al.
Published: (2024)

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
by: Chi, Zhixiang, et al.
Published: (2025)

Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models
by: Jalali, Mohammad, et al.
Published: (2024)

Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
by: Wang, Ziqiang, et al.
Published: (2024)

Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation
by: En, Qing, et al.
Published: (2024)

Noise Scheduling as Information-Guided Allocation in Diffusion Training
by: Raya, Gabriel, et al.
Published: (2026)

Universal Representations for Classification-enhanced Lossy Compression
by: Nguyen, Nam
Published: (2025)

How to Evaluate Semantic Communications for Images with ViTScore Metric?
by: Zhu, Tingting, et al.
Published: (2023)

Large AI Model-Enabled Generative Semantic Communications for Image Transmission
by: Ma, Qiyu, et al.
Published: (2025)

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation
by: Chi, Zhixiang, et al.
Published: (2025)

VNDUQE: Information-Theoretic Novelty Detection using Deep Variational Information Bottleneck
by: Gondkar, Aryan, et al.
Published: (2026)

Understanding the Role of Equivariance in Self-supervised Learning
by: Wang, Yifei, et al.
Published: (2024)

Towards Efficient VLMs: Information-Theoretic Driven Compression via Adaptive Structural Pruning
by: Xu, Zhaoqi, et al.
Published: (2025)

ASI: Accuracy-Stability Index for Evaluating Deep Learning Models
by: Dai, Wei, et al.
Published: (2023)

Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms
by: Zhao, Mengyu, et al.
Published: (2024)

Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation
by: Shastri, Saurav K., et al.
Published: (2024)

Sampling Strategies for Efficient Training of Deep Learning Object Detection Algorithms
by: Shen, Gefei, et al.
Published: (2025)

Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
by: Hartman, Max, et al.
Published: (2025)

Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information
by: Yilmaz, Selim F., et al.
Published: (2023)

Generalizations of the Normalized Radon Cumulative Distribution Transform for Limited Data Recognition
by: Beckmann, Matthias, et al.
Published: (2025)

HawkRover: An Autonomous mmWave Vehicular Communication Testbed with Multi-sensor Fusion and Deep Learning
by: Zhu, Ethan, et al.
Published: (2024)

A Rate-Distortion-Classification Approach for Lossy Image Compression
by: Zhang, Yuefeng
Published: (2024)

Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition
by: Lan, Yifan, et al.
Published: (2025)

UC-NeRF: Uncertainty-aware Conditional Neural Radiance Fields from Endoscopic Sparse Views
by: Guo, Jiaxin, et al.
Published: (2024)