deep learning training

Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks OSDI 2025 An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024 nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training OSDI 2024 MODeL: Memory Optimizations for Deep Learning ICML 2023 Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning ICLR 2023 Is Integer Arithmetic Enough for Deep Learning Training? NeurIPS 2022 To update or not to update? Neurons at equilibrium in deep models NeurIPS 2022 Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning OSDI 2021 AntMan: Dynamic Scaling on GPU Clusters for Deep Learning OSDI 2020 HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees OSDI 2020 Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning NeurIPS 2020 Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks ICLR 2019