Showing 1–17 of 17 results
/ Date/ Name
Jan 8, 2026Learnable Multipliers: Freeing the Scale of Language Model Matrix LayersApr 7, 2026ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training WorkloadsOct 1, 2021SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time SeriesJul 30, 2025Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformanceFeb 18, 2023On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the EdgeJul 29, 2023Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural NetworksFeb 11, 2024Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship ModelingFeb 11, 2024MAGNETO: Edge AI for Human Activity Recognition -- Privacy and PersonalizationDec 13, 2022Graph Convolutional Networks for Traffic Forecasting with Missing ValuesAug 22, 2023Practical Insights on Incremental Learning of New Human Physical Activity on the EdgeJun 24, 2023Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF DatasetOct 7, 2024Falcon Mamba: The First Competitive Attention-free 7B Language ModelAug 21, 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsApr 6, 2026GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model WorkloadsJun 9, 2025NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language ModelsOct 14, 2024DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsSep 2, 2025An Efficient and Adaptive Watermark Detection System with Tile-based Error Correction