Imagen de Portada

Layer-wise Derivative Controlled Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Martnishn, Rowan, Anderson, Sean
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ChainzRule: Sample-Efficient, Robust Deep Learning Across Tabular, NLP, and Vision Tasks
por: Martnishn, Rowan
Publicado: (2026)

Layer-Wise Derivative Controlled Neural Networks Repo
por: Martnishn, Rowan
Publicado: (2026)

Layer-wise Lipschitz-Product Control for Deep Kolmogorov--Arnold Network Representations of Compositionally Structured Functions
por: Tankman, Aleksander
Publicado: (2026)

Geometric Layer-wise Approximation Rates for Deep Networks
por: Zhang, Shijun, et al.
Publicado: (2026)

Layer-wise Linear Mode Connectivity
por: Adilova, Linara, et al.
Publicado: (2023)

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks
por: Vessio, Gennaro
Publicado: (2025)

LI-DSN: A Layer-wise Interactive Dual-Stream Network for EEG Decoding
por: Yue, Chenghao, et al.
Publicado: (2026)

Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration
por: Fang, Jiaxun, et al.
Publicado: (2025)

Scalable Model Merging with Progressive Layer-wise Distillation
por: Xu, Jing, et al.
Publicado: (2025)

LoaQ: Layer-wise Output Approximation Quantization
por: Lin, Li, et al.
Publicado: (2025)

LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
por: Ebrahimpour-Boroojeny, Ali, et al.
Publicado: (2024)

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification
por: Sun, Jiawei, et al.
Publicado: (2025)

Layer-wise dynamic rank for compressing large language models
por: Mi, Zhendong, et al.
Publicado: (2025)

Rethinking Layer-wise Model Merging through Chain of Merges
por: Buzzega, Pietro, et al.
Publicado: (2025)

Element-wise Modulation of Random Matrices for Efficient Neural Layers
por: Szorc, Maksymilian
Publicado: (2025)

On the Effect of Uncertainty on Layer-wise Inference Dynamics
por: Kim, Sunwoo, et al.
Publicado: (2025)

FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
por: Shi, Changlong, et al.
Publicado: (2025)

Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
por: Kim, Jisoo, et al.
Publicado: (2025)

A Layer-wise Analysis of Supervised Fine-Tuning
por: Zhao, Qinghua, et al.
Publicado: (2026)

SliceGX: Layer-wise GNN Explanation with Model-slicing
por: Zhu, Tingting, et al.
Publicado: (2025)

Layer-wise Quantization for Quantized Optimistic Dual Averaging
por: Nguyen, Anh Duc, et al.
Publicado: (2025)

Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-wise Adaptive Regularization Approach
por: Nasir, Hira, et al.
Publicado: (2026)

Layer-wise LoRA fine-tuning: a similarity metric approach
por: Ogawa, Keith Ando, et al.
Publicado: (2026)

DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models
por: Wang, Jingyuan, et al.
Publicado: (2026)

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
por: Wang, Fei, et al.
Publicado: (2026)

Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination
por: Hu, Ming, et al.
Publicado: (2023)

Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training
por: Tun, Ye Lin, et al.
Publicado: (2024)

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
por: Zhang, Thomas T., et al.
Publicado: (2025)

Resource-efficient Layer-wise Federated Self-supervised Learning
por: Tun, Ye Lin, et al.
Publicado: (2024)

Stochastic Layer-wise Learning: Scalable and Efficient Alternative to Backpropagation
por: Yin, Bojian, et al.
Publicado: (2025)

OUIDecay: Adaptive Layer-wise Weight Decay for CNNs Using Online Activation Patterns
por: Fernández-Hernández, Alberto, et al.
Publicado: (2026)

Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
por: Huang, Weizhong, et al.
Publicado: (2025)

Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
por: Lee, Sunwoo
Publicado: (2025)

End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training
por: Sakamoto, Keitaro, et al.
Publicado: (2024)

LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation
por: Shen, Yiqun, et al.
Publicado: (2025)

Information-Theoretic Greedy Layer-wise Training for Traffic Sign Recognition
por: Lyu, Shuyan, et al.
Publicado: (2025)

Iterative Layer-wise Distillation for Efficient Compression of Large Language Models
por: Kovalev, Grigory, et al.
Publicado: (2025)

Rethinking Layer-wise Gaussian Noise Injection: Bridging Implicit Objectives and Privacy Budget Allocation
por: Tan, Qifeng, et al.
Publicado: (2025)

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning
por: Elhussein, Ahmed, et al.
Publicado: (2025)

FedLAM: Low-latency Wireless Federated Learning via Layer-wise Adaptive Modulation
por: Qu, Linping, et al.
Publicado: (2025)