:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Hoddes, Tom, Bijamov, Alex, Joshi, Saket, Roggen, Daniel, Etemad, Ali, Harle, Robert, Racz, David
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2502.03364
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
por: Rojas-Gomez, Renan A., et al.
Publicado: (2023)

Adaptive Cardio Load Targets for Improving Fitness and Performance
por: Phillips, Justin, et al.
Publicado: (2025)

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
por: Roy, Shuvendu, et al.
Publicado: (2023)

In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability
por: Khaked, Azhar Ali, et al.
Publicado: (2025)

From User Recognition to Activity Counting: An Identity-Agnostic Approach to Multi-User WiFi Sensing
por: Bayik, Kemal, et al.
Publicado: (2026)

Approaches to human activity recognition via passive radar
por: Bresciani, Christian, et al.
Publicado: (2024)

Physically Plausible Data Augmentations for Wearable IMU-based Human Activity Recognition Using Physics Simulation
por: Oishi, Nobuyuki, et al.
Publicado: (2025)

Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations
por: Shome, Debaditya, et al.
Publicado: (2023)

Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-temporal Masked Transformers
por: Davoodnia, Vandad, et al.
Publicado: (2023)

Investigating ECG Diagnosis with Ambiguous Labels using Partial Label Learning
por: Rahmani, Sana, et al.
Publicado: (2025)

A comparative study on wearables and single-camera video for upper-limb out-of-thelab activity recognition with different deep learning architectures
por: Martínez-Zarzuela, Mario, et al.
Publicado: (2024)

Scaling laws for activation steering with Llama 2 models and refusal mechanisms
por: Ali, Sheikh Abdur Raheem, et al.
Publicado: (2025)

Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
por: Grover, Shivam, et al.
Publicado: (2024)

Deep Multitask Learning for Pervasive BMI Estimation and Identity Recognition in Smart Beds
por: Davoodnia, Vandad, et al.
Publicado: (2020)

Redundant feature screening method for human activity recognition based on attention purification mechanism
por: Li, Xiaoyang, et al.
Publicado: (2025)

Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection
por: Rahmani, Sana, et al.
Publicado: (2025)

Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
por: Kolahdouzi, Mojtaba, et al.
Publicado: (2025)

Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning
por: Mahmud, Zunayed, et al.
Publicado: (2022)

On The Relationship Between Continual Learning and Long-Tailed Recognition
por: Molahasani, Mahdiyar, et al.
Publicado: (2023)

In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
por: Soltanieh, Sahar, et al.
Publicado: (2023)

Adaptive data selection improves wearable prediction under low baseline performance
por: Kargarandehkordi, Ali
Publicado: (2026)

Aletheia: Gradient-Guided Layer Selection for Efficient LoRA Fine-Tuning Across Architectures
por: Saket, Abdulmalek
Publicado: (2026)

Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing
por: Jalali, Amin, et al.
Publicado: (2025)

NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series
por: Shome, Debaditya, et al.
Publicado: (2024)

LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions
por: Brahmbhatt, Anand, et al.
Publicado: (2023)

Multi-Domain EEG Representation Learning with Orthogonal Mapping and Attention-based Fusion for Cognitive Load Classification
por: Angkan, Prithila, et al.
Publicado: (2025)

Graph-Based Learning of Spectro-Topographical EEG Representations with Gradient Alignment for Brain-Computer Interfaces
por: Angkan, Prithila, et al.
Publicado: (2025)

STELLAR: Scaling 3D Perception Large Models for Autonomous Driving
por: Li, Yingwei, et al.
Publicado: (2026)

Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
por: Mishra, Aditya, et al.
Publicado: (2025)

Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning
por: Taghanaki, Setareh Rahimi, et al.
Publicado: (2022)

A Bag of Tricks for Few-Shot Class-Incremental Learning
por: Roy, Shuvendu, et al.
Publicado: (2024)

A finite-sample bound for identifying partially observed linear switched systems from a single trajectory
por: Racz, Daniel, et al.
Publicado: (2025)

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
por: Ashhad, Mohd, et al.
Publicado: (2025)

Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
por: Pourpanah, Farhad, et al.
Publicado: (2024)

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
por: Saeed, Aaqib, et al.
Publicado: (2024)

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
por: Soltany, Milad, et al.
Publicado: (2024)

B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows
por: Demrozi, Florenc, et al.
Publicado: (2021)

When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift
por: Maganti, Saket
Publicado: (2026)

TActiLE: Tiny Active LEarning for wearable devices
por: Pavan, Massimo, et al.
Publicado: (2025)

Scaling laws for decoding images from brain activity
por: Banville, Hubert, et al.
Publicado: (2025)