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NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object., and . CoRR, (2023)Mixed Precision DNNs: All you need is a good parametrization., , , , , , , and . ICLR, OpenReview.net, (2020)Efficient Sampling for Predictor-Based Neural Architecture Search., , , , , , and . CoRR, (2020)Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives., , , , , , , , and . CoRR, (2021)Iteratively Training Look-Up Tables for Network Quantization., , , , , , , and . IEEE J. Sel. Top. Signal Process., 14 (4): 860-870 (2020)Mixed Precision DNNs: All you need is a good parametrization, , , , , , , and . International Conference on Learning Representations, (2020)Laplacian minimax probability machine., and . Pattern Recognit. Lett., (2014)Iteratively Training Look-Up Tables for Network Quantization., , , , , , , and . CoRR, (2019)Manifold-Regularized Minimax Probability Machine., and . PSL, volume 7081 of Lecture Notes in Computer Science, page 42-51. Springer, (2011)Differentiable Quantization of Deep Neural Networks., , , , , , , and . CoRR, (2019)