Imagen de Portada

Neural Tangent Knowledge Distillation for Optical Convolutional Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiang, Jinlin, Choi, Minho, Zhang, Yubo, Zhou, Zhihao, Majumdar, Arka, Shlizerman, Eli
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Transferable polychromatic optical encoder for neural networks
por: Choi, Minho, et al.
Publicado: (2024)

Compressed Meta-Optical Encoder for Image Classification
por: Wirth-Singh, Anna, et al.
Publicado: (2024)

SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing
por: Chen, Mingfei, et al.
Publicado: (2025)

Tell What You Hear From What You See -- Video to Audio Generation Through Text
por: Liu, Xiulong, et al.
Publicado: (2024)

When Training-Free NAS Meets Vision Transformer: A Neural Tangent Kernel Perspective
por: Zhou, Qiqi, et al.
Publicado: (2024)

Impact of Tuning Parameters in Deep Convolutional Neural Network Using a Crack Image Dataset
por: Zabin, Mahe, et al.
Publicado: (2025)

Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
por: Ma, Jing, et al.
Publicado: (2022)

Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation
por: Shin, Hyunjune, et al.
Publicado: (2024)

Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
por: Sharma, Manish, et al.
Publicado: (2024)

Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
por: Kim, Beomsu, et al.
Publicado: (2025)

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
por: Xiang, Qianlong, et al.
Publicado: (2024)

Deep Convolutional Neural Networks for Palm Fruit Maturity Classification
por: Han, Mingqiang, et al.
Publicado: (2025)

Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns
por: Kyrkou, Christos
Publicado: (2024)

Multi-Level Knowledge Distillation and Dynamic Self-Supervised Learning for Continual Learning
por: Kim, Taeheon, et al.
Publicado: (2025)

Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods
por: Wang, Qi, et al.
Publicado: (2024)

Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks
por: Francy, Samer, et al.
Publicado: (2024)

Cross Knowledge Distillation between Artificial and Spiking Neural Networks
por: Ye, Shuhan, et al.
Publicado: (2025)

Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets
por: Hurt, J. Alex, et al.
Publicado: (2025)

Dynamic Temperature Knowledge Distillation
por: Wei, Yukang, et al.
Publicado: (2024)

Multi-Label Knowledge Distillation
por: Yang, Penghui, et al.
Publicado: (2023)

DistilDoc: Knowledge Distillation for Visually-Rich Document Applications
por: Van Landeghem, Jordy, et al.
Publicado: (2024)

Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
por: Adachi, Kazuki, et al.
Publicado: (2022)

Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table
por: Tokunaga, Hiroyuki, et al.
Publicado: (2024)

The Role of Teacher Calibration in Knowledge Distillation
por: Kim, Suyoung, et al.
Publicado: (2025)

MambaEye: A Size-Agnostic Visual Encoder with Causal Sequential Processing
por: Choi, Changho, et al.
Publicado: (2025)

On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process
por: Adhane, Gereziher, et al.
Publicado: (2024)

Financial Fraud Identification and Interpretability Study for Listed Companies Based on Convolutional Neural Network
por: Li, Xiao
Publicado: (2025)

MusicInfuser: Making Video Diffusion Listen and Dance
por: Hong, Susung, et al.
Publicado: (2025)

Distilling Dataset into Neural Field
por: Shin, Donghyeok, et al.
Publicado: (2025)

Training-Free Restoration of Pruned Neural Networks
por: Lee, Keonho, et al.
Publicado: (2025)

Small Scale Data-Free Knowledge Distillation
por: Liu, He, et al.
Publicado: (2024)

Self-Supervised Quantization-Aware Knowledge Distillation
por: Zhao, Kaiqi, et al.
Publicado: (2024)

From Code to Field: Evaluating the Robustness of Convolutional Neural Networks for Disease Diagnosis in Mango Leaves
por: de Andrade, Gabriel Vitorino, et al.
Publicado: (2025)

DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
por: Huang, Haiduo, et al.
Publicado: (2025)

Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
por: Zhang, Chi, et al.
Publicado: (2021)

CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation
por: Tang, Haitong, et al.
Publicado: (2021)

AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI
por: Al-Kababji, Ayman, et al.
Publicado: (2024)

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
por: Chang, Wonjoon, et al.
Publicado: (2023)

Good Teachers Explain: Explanation-Enhanced Knowledge Distillation
por: Parchami-Araghi, Amin, et al.
Publicado: (2024)

Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
por: Wu, Wenyuan, et al.
Publicado: (2025)