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Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1264-1274. PMLR, (2019)BitDelta: Your Fine-Tune May Only Be Worth One Bit., , , , , , и . CoRR, (2024)Transform Once: Efficient Operator Learning in Frequency Domain., , , , , , и . NeurIPS, (2022)Gaussian Quadrature for Kernel Features., , и . NIPS, стр. 6107-6117. (2017)Approximating the Permanent by Sampling from Adaptive Partitions., , , , и . NeurIPS, стр. 8858-8869. (2019)Adaptive Hashing for Model Counting., , , , , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 271-280. AUAI Press, (2019)Monarch: Expressive Structured Matrices for Efficient and Accurate Training., , , , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 4690-4721. PMLR, (2022)Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling., , , , , и . CoRR, (2024)StarCoder 2 and The Stack v2: The Next Generation., , , , , , , , , и 47 other автор(ы). CoRR, (2024)Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation., , , и . CoRR, (2018)