:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Zeng, Xuanrui
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2410.04722
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Pluralistic Alignment for Healthcare: A Role-Driven Framework
di: Zhong, Jiayou, et al.
Pubblicazione: (2025)

Semantic Segmentation from Image Labels by Reconstruction from Structured Decomposition
di: Zeng, Xuanrui
Pubblicazione: (2024)

Geometric and Spectral Alignment for Deep Neural Network I
di: Liu, Ziran, et al.
Pubblicazione: (2026)

Geometric and Spectral Alignment for Deep Neural Network II
di: Liu, Ziran, et al.
Pubblicazione: (2026)

Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks
di: Dorszewski, Teresa, et al.
Pubblicazione: (2024)

Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
di: Wang, Zhenzhong, et al.
Pubblicazione: (2024)

Label Alignment Regularization for Distribution Shift
di: Imani, Ehsan, et al.
Pubblicazione: (2022)

Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios
di: Hong, Kihun, et al.
Pubblicazione: (2025)

DeepDefense: Layer-Wise Gradient-Feature Alignment for Building Robust Neural Networks
di: Lin, Ci, et al.
Pubblicazione: (2025)

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning
di: Chen, Yu, et al.
Pubblicazione: (2026)

On the Neural Feature Ansatz for Deep Neural Networks
di: Tansley, Edward, et al.
Pubblicazione: (2025)

A Review of Neural Networks in Precipitation Prediction
di: Zeng, Yugong, et al.
Pubblicazione: (2025)

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
di: Gao, Wanfu, et al.
Pubblicazione: (2025)

Hard-Label Cryptanalytic Extraction of Neural Network Models
di: Chen, Yi, et al.
Pubblicazione: (2024)

A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks
di: Mandal, Saptarshi, et al.
Pubblicazione: (2024)

Flag Varieties: A Geometric Framework for Deep Network Alignment
di: Xiao, Jingchuan, et al.
Pubblicazione: (2026)

Learned Random Label Predictions as a Neural Network Complexity Metric
di: Becker, Marlon, et al.
Pubblicazione: (2024)

Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick
di: Wang, Xiyuan, et al.
Pubblicazione: (2023)

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks
di: Nakarmi, Suprim, et al.
Pubblicazione: (2026)

Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
di: Robertson, Zachary, et al.
Pubblicazione: (2023)

Spectral Alignment as Predictor of Loss Explosion in Neural Network Training
di: Qiu, Haiquan, et al.
Pubblicazione: (2025)

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
di: Yu, Qi, et al.
Pubblicazione: (2025)

Label-NTK Alignments and A Tighter Convergence Bound in the NTK Regime
di: Marreddy, Ruchirinkil, et al.
Pubblicazione: (2026)

On the Stability of Neural Networks in Deep Learning
di: Delattre, Blaise
Pubblicazione: (2025)

Exact Certification of (Graph) Neural Networks Against Label Poisoning
di: Sabanayagam, Mahalakshmi, et al.
Pubblicazione: (2024)

Training-free Graph Neural Networks and the Power of Labels as Features
di: Sato, Ryoma
Pubblicazione: (2024)

Rethinking Neural Network Learning Rates: A Stackelberg Perspective
di: Zeng, Sihan, et al.
Pubblicazione: (2026)

Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes
di: Zhong, Ming, et al.
Pubblicazione: (2024)

Exact Certification of Neural Networks and Partition Aggregation Ensembles against Label Poisoning
di: Mohgaonkar, Ajinkya, et al.
Pubblicazione: (2026)

Deep Grokking: Would Deep Neural Networks Generalize Better?
di: Fan, Simin, et al.
Pubblicazione: (2024)

CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
di: Nguyen, Anh T, et al.
Pubblicazione: (2023)

Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment
di: Aumon, Adrien, et al.
Pubblicazione: (2026)

Architectural Strategies for the optimization of Physics-Informed Neural Networks
di: Saratchandran, Hemanth, et al.
Pubblicazione: (2024)

Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data
di: Li, Yuxuan, et al.
Pubblicazione: (2024)

Graph Neural Networks for Protein-Protein Interactions -- A Short Survey
di: Xu, Mingda, et al.
Pubblicazione: (2024)

ESSA: Evolutionary Strategies for Scalable Alignment
di: Korotyshova, Daria, et al.
Pubblicazione: (2025)

Towards Certified Unlearning for Deep Neural Networks
di: Zhang, Binchi, et al.
Pubblicazione: (2024)

On Local Overfitting and Forgetting in Deep Neural Networks
di: Stern, Uri, et al.
Pubblicazione: (2024)

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

On Expressivity of Height in Neural Networks
di: Fan, Feng-Lei, et al.
Pubblicazione: (2023)