on-device learning

Memoire: Learning User Personas from Gallery Tags for Personalized Photo Curation WACV 2026 Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning ICML 2025 LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization WACV 2025 On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events CVPR 2025 TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025 Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism NeurIPS 2023 Dynamic Stashing Quantization for Efficient Transformer Training EMNLP 2023 Large-Scale Distributed Learning via Private On-Device LSH NeurIPS 2023 On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation Interspeech 2023 Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device Interspeech 2022 Rep-Net: Efficient On-Device Learning via Feature Reprogramming CVPR 2022 Retaining Knowledge for Learning with Dynamic Definition NeurIPS 2022 UserLibri: A Dataset for ASR Personalization Using Only Text Interspeech 2022 FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications Interspeech 2021 Improving Multi-agent Coordination by Learning to Estimate Contention IJCAI 2021 Robust Continuous On-Device Personalization for Automatic Speech Recognition Interspeech 2021 Distributed Distillation for On-Device Learning NeurIPS 2020 TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NeurIPS 2020 COLA: Decentralized Linear Learning NeurIPS 2018