:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pinitas, Kosmas, Katsifis, Konstantinos
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.27479
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Privileged Contrastive Pretraining for Multimodal Affect Modelling
by: Pinitas, Kosmas, et al.
Published: (2025)

Beyond the Mean: Modelling Annotation Distributions in Continuous Affect Prediction
by: Pinitas, Kosmas, et al.
Published: (2026)

Sobolev Space Regularised Pre Density Models
by: Kozdoba, Mark, et al.
Published: (2023)

Offline Regularised Reinforcement Learning for Large Language Models Alignment
by: Richemond, Pierre Harvey, et al.
Published: (2024)

GameVibe: A Multimodal Affective Game Corpus
by: Barthet, Matthew, et al.
Published: (2024)

DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
by: Garcin, Samuel, et al.
Published: (2024)

Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models
by: Matijevic, Sara, et al.
Published: (2026)

Generalisation of RLHF under Reward Shift and Clipped KL Regularisation
by: Tang, Kenton, et al.
Published: (2026)

LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation
by: Noravesh, Farshad, et al.
Published: (2025)

Mosaic: Composite Projection Pruning for Resource-efficient LLMs
by: Eccles, Bailey J., et al.
Published: (2025)

FLASH-D: FlashAttention with Hidden Softmax Division
by: Alexandridis, Kosmas, et al.
Published: (2025)

Open-Set Graph Anomaly Detection via Normal Structure Regularisation
by: Wang, Qizhou, et al.
Published: (2023)

FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models
by: Qin, Ruiyang, et al.
Published: (2024)

REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
by: Ireland, David, et al.
Published: (2024)

Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation
by: Koo, Heejoon
Published: (2024)

Accuracy-Constrained CNN Pruning for Efficient and Reliable EEG-Based Seizure Detection
by: K, Mounvik, et al.
Published: (2025)

Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
by: Zhu, Yujie, et al.
Published: (2025)

Across-Game Engagement Modelling via Few-Shot Learning
by: Pinitas, Kosmas, et al.
Published: (2024)

Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities
by: Zhang, Stephen, et al.
Published: (2024)

TopoPrune: Robust Data Pruning via Unified Latent Space Topology
by: Roy, Arjun, et al.
Published: (2026)

Memory Allocation in Resource-Constrained Reinforcement Learning
by: Tamborski, Massimiliano, et al.
Published: (2025)

Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
by: Le, Qi, et al.
Published: (2025)

SwiftPrune: Hessian-Free Weight Pruning for Large Language Models
by: Kang, Yuhan, et al.
Published: (2025)

Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
by: Ahmed, Mohamed Aboelenien, et al.
Published: (2025)

Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning
by: Balemans, Dieter, et al.
Published: (2025)

Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
by: Zimmer, Max, et al.
Published: (2023)

Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models
by: Hu, Wentao, et al.
Published: (2025)

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units
by: Das, Arghadip, et al.
Published: (2025)

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs
by: Abillama, Pierre, et al.
Published: (2025)

Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
by: Wu, Yuxuan, et al.
Published: (2024)

Lightweight Edge Learning via Dataset Pruning
by: Ale, Laha, et al.
Published: (2026)

Numerical Pruning for Efficient Autoregressive Models
by: Shen, Xuan, et al.
Published: (2024)

Symmetric Pruning of Large Language Models
by: Yi, Kai, et al.
Published: (2025)

RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
by: Piaseczny, Adam, et al.
Published: (2025)

Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments
by: Taha, Mohamed A.
Published: (2025)

Optimizing Blood Transfusions and Predicting Shortages in Resource-Constrained Areas
by: Belfarsi, El Arbi, et al.
Published: (2025)

Alignment-Constrained Dynamic Pruning for LLMs: Identifying and Preserving Alignment-Critical Circuits
by: Patel, Dev, et al.
Published: (2025)

Compact Language Models via Pruning and Knowledge Distillation
by: Muralidharan, Saurav, et al.
Published: (2024)

Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
by: Zhao, Lifan, et al.
Published: (2025)

Towards Adaptive Deep Learning: Model Elasticity via Prune-and-Grow CNN Architectures
by: Mangal, Pooja, et al.
Published: (2025)