:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Smith, Evan Gibson, Islam, Bashima
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.22660
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantization of Spiking Neural Networks Beyond Accuracy
by: Smith, Evan Gibson, et al.
Published: (2026)

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

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

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

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

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

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

Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
by: Lee, Kyung-hwan, et al.
Published: (2025)

Training on the Edge of Stability Is Caused by Layerwise Jacobian Alignment
by: Lowell, Mark, et al.
Published: (2024)

UnIT: Scalable Unstructured Inference-Time Pruning for MAC-efficient Neural Inference on MCUs
by: Neth, Ashe, et al.
Published: (2025)

RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language
by: Biswas, Subrata, et al.
Published: (2025)

QUADS: QUAntized Distillation Framework for Efficient Speech Language Understanding
by: Biswas, Subrata, et al.
Published: (2025)

LOCUS: LOcalization with Channel Uncertainty and Sporadic Energy
by: Biswas, Subrata, et al.
Published: (2023)

Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems
by: Farina, Pietro, et al.
Published: (2024)

Enabling On-device Continual Learning with Binary Neural Networks
by: Vorabbi, Lorenzo, et al.
Published: (2024)

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

On Training a Neural Network to Explain Binaries
by: Interrante-Grant, Alexander, et al.
Published: (2024)

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

A Principled Bayesian Framework for Training Binary and Spiking Neural Networks
by: Walker, James A., et al.
Published: (2025)

Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
by: Carrasquilla, Juan, et al.
Published: (2023)

WSBD: Freezing-Based Optimizer for Quantum Neural Networks
by: Kverne, Christopher, et al.
Published: (2026)

On the Hardness of Training Deep Neural Networks Discretely
by: Doron-Arad, Ilan
Published: (2024)

Astrometric Binary Classification Via Artificial Neural Networks
by: Smith, Joe
Published: (2024)

Gradient-Free Training of Quantized Neural Networks
by: Cohen, Noa, et al.
Published: (2024)

S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
by: Hu, Yuezhou, et al.
Published: (2024)

CycleBNN: Cyclic Precision Training in Binary Neural Networks
by: Fontana, Federico, et al.
Published: (2024)

Training-Free Cross-Architecture Merging for Graph Neural Networks
by: Bhattacharya, Rishabh, et al.
Published: (2026)

Training Deep Morphological Neural Networks as Universal Approximators
by: Fotopoulos, Konstantinos, et al.
Published: (2025)

Concurrent Training and Layer Pruning of Deep Neural Networks
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2024)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
by: Ding, Mucong, et al.
Published: (2024)

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
by: Wang, Peng, et al.
Published: (2023)

Federated Learning of Binary Neural Networks: Enabling Low-Cost Inference
by: Shankar, Nitin Priyadarshini, et al.
Published: (2026)

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

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

Sound Tagging in Infant-centric Home Soundscapes
by: Khan, Mohammad Nur Hossain, et al.
Published: (2024)

General Cyclical Training of Neural Networks
by: Smith, Leslie N.
Published: (2022)

Gradient-Free Training of Recurrent Neural Networks using Random Perturbations
by: Fernandez, Jesus Garcia, et al.
Published: (2024)

Rethinking the Potential of Layer Freezing for Efficient DNN Training
by: Yang, Chence, et al.
Published: (2025)

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

Exact Gauss-Newton Optimization for Training Deep Neural Networks
by: Korbit, Mikalai, et al.
Published: (2024)