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Generalized residual vector quantization for large scale data., , and . ICME, page 1-6. IEEE Computer Society, (2016)Relax: Composable Abstractions for End-to-End Dynamic Machine Learning., , , , , , , , , and 9 other author(s). CoRR, (2023)TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers., , , , , , and . NeurIPS Datasets and Benchmarks, (2021)RAF: Holistic Compilation for Deep Learning Model Training., , , , , , , , , and 2 other author(s). CoRR, (2023)Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1099-1109. PMLR, (2019)SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning., , , , and . CoRR, (2022)Accelerated distance computation with encoding tree/forest for high dimensional data., , and . ICMLC, page 495-501. IEEE, (2016)Tensor Program Optimization with Probabilistic Programs., , , , , , , , , and . NeurIPS, (2022)SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning., , , , and . ASPLOS (3), page 660-678. ACM, (2023)Aggregating Tree for Searching in Billion Scale High Dimensional Data., , and . ICDM Workshops, page 748-755. IEEE Computer Society, (2016)