:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Park, Sejik
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2411.09475
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Diverse Feature Learning by Self-distillation and Reset
di: Park, Sejik
Pubblicazione: (2024)

Gradient Residual Connections
di: Pan, Yangchen, et al.
Pubblicazione: (2026)

Support Vector Boosting Machine (SVBM): Enhancing Classification Performance with AdaBoost and Residual Connections
di: Lian, Junbo Jacob
Pubblicazione: (2024)

Enhancing Linear Attention with Residual Learning
di: Lai, Xunhao, et al.
Pubblicazione: (2025)

Ablate and Rescue: A Causal Analysis of Residual Stream Hyper-Connections
di: Peng, William, et al.
Pubblicazione: (2026)

Theory Foundation of Physics-Enhanced Residual Learning
di: Liang, Shixiao, et al.
Pubblicazione: (2025)

Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
di: Park, Sejik
Pubblicazione: (2024)

AdaResNet: Enhancing Residual Networks with Dynamic Weight Adjustment for Improved Feature Integration
di: Su, Hong
Pubblicazione: (2024)

Residual Feature Integration is Sufficient to Prevent Negative Transfer
di: Xu, Yichen, et al.
Pubblicazione: (2025)

MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
di: Xiao, Da, et al.
Pubblicazione: (2025)

Incremental Residual Concept Bottleneck Models
di: Shang, Chenming, et al.
Pubblicazione: (2024)

Attention Sinks and Outliers in Attention Residuals
di: Luo, Haozheng, et al.
Pubblicazione: (2026)

Dynamic Context Adaptation and Information Flow Control in Transformers: Introducing the Evaluator Adjuster Unit and Gated Residual Connections
di: Dhayalkar, Sahil Rajesh
Pubblicazione: (2024)

Cooperative Advisory Residual Policies for Congestion Mitigation
di: Hasan, Aamir, et al.
Pubblicazione: (2024)

Residual Stream Analysis of Overfitting And Structural Disruptions
di: Liu, Quan, et al.
Pubblicazione: (2026)

Contrastive Residual Energy Test-time Adaptation
di: Han, Yewon, et al.
Pubblicazione: (2025)

Residual Reweighted Conformal Prediction for Graph Neural Networks
di: Zhang, Zheng, et al.
Pubblicazione: (2025)

Progressive Approximation in Deep Residual Networks: Theory and Validation
di: Wang, Wei, et al.
Pubblicazione: (2026)

Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
di: Yu, Ray Congrui, et al.
Pubblicazione: (2024)

Accelerating Residual Reinforcement Learning with Uncertainty Estimation
di: Dodeja, Lakshita, et al.
Pubblicazione: (2025)

Residual Reservoir Memory Networks
di: Pinna, Matteo, et al.
Pubblicazione: (2025)

DouRN: Improving DouZero by Residual Neural Networks
di: Chen, Yiquan, et al.
Pubblicazione: (2024)

CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction
di: Guo, Honglin, et al.
Pubblicazione: (2026)

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies
di: Piękos, Piotr, et al.
Pubblicazione: (2025)

Harmful Intent as a Geometrically Recoverable Feature of LLM Residual Streams
di: Llorente-Saguer, Isaac
Pubblicazione: (2026)

Adapting World Models with Latent-State Dynamics Residuals
di: Lanier, JB, et al.
Pubblicazione: (2025)

Residual Reward Models for Preference-based Reinforcement Learning
di: Cao, Chenyang, et al.
Pubblicazione: (2025)

Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction
di: Demirbilek, Oytun, et al.
Pubblicazione: (2024)

Neutral Residues: Revisiting Adapters for Model Extension
di: Talla, Franck Signe, et al.
Pubblicazione: (2024)

Residual Stream Duality in Modern Transformer Architectures
di: Zhang, Yifan
Pubblicazione: (2026)

Jet Expansions of Residual Computation
di: Chen, Yihong, et al.
Pubblicazione: (2024)

ARCA: Adapter-Residual Credit Assignment When Token Signals Degenerate
di: Lafuente-Mercado, Rodney
Pubblicazione: (2026)

AICRN: Attention-Integrated Convolutional Residual Network for Interpretable Electrocardiogram Analysis
di: Jayakody, J. M. I. H., et al.
Pubblicazione: (2025)

Residual Q-Learning: Offline and Online Policy Customization without Value
di: Li, Chenran, et al.
Pubblicazione: (2023)

ReSAE: Residualized Sparse Autoencoders for Multi-Layer Transformer Interventions
di: Poduval, Prathyush, et al.
Pubblicazione: (2026)

Dynamics of the Transformer Residual Stream: Coupling Spectral Geometry to Network Topology
di: Fernando, Jesseba, et al.
Pubblicazione: (2026)

Improving Spatio-Temporal Residual Error Propagation by Mitigating Over-Squashing
di: Moghadas, Seyed Mohamad, et al.
Pubblicazione: (2026)

The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
di: Hsu, Hsiang, et al.
Pubblicazione: (2026)

GRC-Net: Gram Residual Co-attention Net for epilepsy prediction
di: You, Bihao, et al.
Pubblicazione: (2025)

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
di: Zhang, Junru, et al.
Pubblicazione: (2026)