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The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment., , , , и . CoRR, (2023)OLLA: Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays., , , и . CoRR, (2022)Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM., , , , , , , , , и 1 other автор(ы). CoRR, (2024)RA-DIT: Retrieval-Augmented Dual Instruction Tuning., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Libri-Light: A Benchmark for ASR with Limited or No Supervision., , , , , , , , , и 5 other автор(ы). ICASSP, стр. 7669-7673. IEEE, (2020)Differentiable Weighted Finite-State Transducers., , , и . CoRR, (2020)TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch., , , , , , , , , и 14 other автор(ы). CoRR, (2023)Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training., , , , , , , , , и 1 other автор(ы). Interspeech, стр. 721-725. ISCA, (2021)End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures., , , , , , , , и . CoRR, (2019)MODeL: Memory Optimizations for Deep Learning., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 32618-32632. PMLR, (2023)