Copertina

VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Khisa, Soham, Chakma, Avijoy
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Re-educating Educated Ones: A Case Study on Chakma Language Revitalization in Chittagong Hill Tracts
di: Chakma, Avijoy, et al.
Pubblicazione: (2026)

Mechanical Strength Prediction of Steel-Polypropylene Fiber-based High-Performance Concrete Using Hybrid Machine Learning Algorithms
di: Chakma, Jagaran, et al.
Pubblicazione: (2025)

Subject Invariant Contrastive Learning for Human Activity Recognition
di: Yarici, Yavuz, et al.
Pubblicazione: (2025)

Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition
di: Wu, Qingyu, et al.
Pubblicazione: (2026)

A Data-Driven Multi-Objective Approach for Predicting Mechanical Performance, Flowability, and Porosity in Ultra-High-Performance Concrete (UHPC)
di: Chakma, Jagaran, et al.
Pubblicazione: (2025)

ChakmaNMT: Machine Translation for a Low-Resource and Endangered Language via Transliteration
di: Chakma, Aunabil, et al.
Pubblicazione: (2024)

Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition
di: Ge, Wen, et al.
Pubblicazione: (2024)

Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data
di: Jing, Long, et al.
Pubblicazione: (2026)

CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering
di: Khazaei, Ensieh, et al.
Pubblicazione: (2024)

Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition
di: Ge, Wen, et al.
Pubblicazione: (2025)

TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition
di: Kann, Bonpagna, et al.
Pubblicazione: (2025)

Scene-Adaptive Continual Learning for CSI-based Human Activity Recognition with Mixture of Experts
di: Zheng, Wenhan, et al.
Pubblicazione: (2026)

Causal-driven attribution (CDA): Estimating channel influence without user-level data
di: Filippou, Georgios, et al.
Pubblicazione: (2025)

Label Leakage in Federated Inertial-based Human Activity Recognition
di: Bock, Marius, et al.
Pubblicazione: (2025)

Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition
di: Kagiyama, Masaharu, et al.
Pubblicazione: (2025)

DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing
di: Saha, Utsab, et al.
Pubblicazione: (2024)

nanoML for Human Activity Recognition
di: Bacellar, Alan T. L., et al.
Pubblicazione: (2025)

Federated Unlearning for Human Activity Recognition
di: Chen, Kongyang, et al.
Pubblicazione: (2024)

Process-aware Human Activity Recognition
di: Zheng, Jiawei, et al.
Pubblicazione: (2024)

Human Activity Recognition using Smartphones
di: Sonawane, Mayur, et al.
Pubblicazione: (2024)

Where to Steer: Input-Dependent Layer Selection for Steering Improves LLM Alignment
di: Gadgil, Soham, et al.
Pubblicazione: (2026)

Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
di: Nguyen, Duc-Anh, et al.
Pubblicazione: (2023)

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

VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees
di: Roy, Somjit, et al.
Pubblicazione: (2026)

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition
di: Nolan, Matthew, et al.
Pubblicazione: (2025)

On-device Large Multi-modal Agent for Human Activity Recognition
di: Siam, Md Shakhrul Iman, et al.
Pubblicazione: (2025)

6G-Enabled Digital Twin Framework for Real-Time Cyber-Physical Systems: An Experimental Validation with Industrial Bearing Fault Detection
di: Chakma, Vaskar, et al.
Pubblicazione: (2025)

Temporal Action Localization for Inertial-based Human Activity Recognition
di: Bock, Marius, et al.
Pubblicazione: (2023)

Probabilistic Variational Contrastive Learning
di: Jeong, Minoh, et al.
Pubblicazione: (2025)

Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition
di: Zuo, Si, et al.
Pubblicazione: (2023)

Reservoir Network with Structural Plasticity for Human Activity Recognition
di: Zyarah, Abdullah M., et al.
Pubblicazione: (2025)

Gated Adaptation for Continual Learning in Human Activity Recognition
di: Azghan, Reza Rahimi, et al.
Pubblicazione: (2026)

Transfer Learning in Human Activity Recognition: A Survey
di: Dhekane, Sourish Gunesh, et al.
Pubblicazione: (2024)

Scalable Valuation of Human Feedback through Provably Robust Model Alignment
di: Fujisawa, Masahiro, et al.
Pubblicazione: (2025)

Data Alignment for Zero-Shot Concept Generation in Dermatology AI
di: Gadgil, Soham, et al.
Pubblicazione: (2024)

Paying Alignment Tax with Contrastive Learning
di: Korkmaz, Buse Sibel, et al.
Pubblicazione: (2025)

Integrating Temporal Context into Streaming Data for Human Activity Recognition in Smart Home
di: Vicini, Marina, et al.
Pubblicazione: (2026)

Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challenges
di: Leite, Clayton Souza, et al.
Pubblicazione: (2024)

Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition
di: Ge, Wen, et al.
Pubblicazione: (2024)

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
di: Sun, Zhiqing, et al.
Pubblicazione: (2024)