:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lowell, Mark, Kastner, Catharine
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.00127
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Adaptive and Stability-Promoting Layerwise Training Approach for Sparse Deep Neural Network Architecture
by: Krishnanunni, C G, et al.
Published: (2022)

There is a Singularity in the Loss Landscape
by: Lowell, Mark
Published: (2022)

Layerwise Progressive Freezing Enables STE-Free Training of Deep Binary Neural Networks
by: Smith, Evan Gibson, et al.
Published: (2026)

Understanding Gradient Descent through the Training Jacobian
by: Belrose, Nora, et al.
Published: (2024)

Noise-Adaptive Layerwise Learning Rates: Accelerating Geometry-Aware Optimization for Deep Neural Network Training
by: Hao, Jie, et al.
Published: (2025)

Jacobian Regularization Stabilizes Long-Term Integration of Neural Differential Equations
by: Janvier, Maya, et al.
Published: (2026)

Task-driven Layerwise Additive Activation Intervention
by: Nguyen, Hieu Trung, et al.
Published: (2025)

Identifiable Equivariant Networks are Layerwise Equivariant
by: Shahverdi, Vahid, et al.
Published: (2026)

On the Stability of the Jacobian Matrix in Deep Neural Networks
by: Dadoun, Benjamin, et al.
Published: (2025)

Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation
by: Liu, Linghai, et al.
Published: (2024)

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
by: Kim, Taeyoung, et al.
Published: (2023)

BALI: Learning Neural Networks via Bayesian Layerwise Inference
by: Kurle, Richard, et al.
Published: (2024)

Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
by: Yashwanth, M, et al.
Published: (2025)

Layerwise LQR for Geometry-Aware Optimization of Deep Networks
by: Dufort-Labbé, Simon, et al.
Published: (2026)

Layerwise Recall and the Geometry of Interwoven Knowledge in LLMs
by: Lei, Ge, et al.
Published: (2025)

Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
by: Haas, Nathanaël, et al.
Published: (2026)

Task Structure Reverses Layerwise State Encoding in Sequence Models
by: Jiang, Yuhang
Published: (2026)

Robust Layerwise Scaling Rules by Proper Weight Decay Tuning
by: Fan, Zhiyuan, et al.
Published: (2025)

JacQuant: STE-Free Quantization-Aware Training via Learned Jacobian Surrogates
by: Yi, Kai, et al.
Published: (2026)

OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework
by: Li, Jiaxi, et al.
Published: (2024)

Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning
by: Yoo, Jason, et al.
Published: (2024)

CoopQ: Cooperative Game Inspired Layerwise Mixed Precision Quantization for LLMs
by: Zhao, Junchen, et al.
Published: (2025)

Outlier-weighed Layerwise Sampling for LLM Fine-tuning
by: Li, Pengxiang, et al.
Published: (2024)

Layerwise Change of Knowledge in Neural Networks
by: Cheng, Xu, et al.
Published: (2024)

Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD
by: Andreyev, Arseniy, et al.
Published: (2024)

The Origin of Edge of Stability
by: Litman, Elon
Published: (2026)

Jacobian-Enhanced Neural Networks
by: Berguin, Steven H.
Published: (2024)

Jacobian Aligned Random Forests
by: Rauniyar, Sarwesh
Published: (2025)

Symmetry Reveals Layerwise Dynamics: How Transformers Perform In-Context Classification
by: Lutz, Patrick, et al.
Published: (2026)

Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL
by: Ye, Chenlu, et al.
Published: (2026)

A Note on Non-Composability of Layerwise Approximate Verification for Neural Inference
by: Zamir, Or
Published: (2026)

Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE
by: Valentim, Inês, et al.
Published: (2024)

μP$^2$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
by: Haas, Moritz, et al.
Published: (2024)

Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
by: Qian, Jian, et al.
Published: (2024)

From Compression to Expression: A Layerwise Analysis of In-Context Learning
by: Jiang, Jiachen, et al.
Published: (2025)

EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting
by: Yu, Zhongzhi, et al.
Published: (2024)

Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs
by: Gao, Chang, et al.
Published: (2025)

POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning
by: Yu, Kuai, et al.
Published: (2025)

Some Theoretical Results on Layerwise Effective Dimension Oscillations in Finite Width ReLU Networks
by: Makwana, Darshan
Published: (2025)

GAC: Stabilizing Asynchronous RL Training for LLMs via Gradient Alignment Control
by: Xu, Haofeng, et al.
Published: (2026)