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Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel.

, , , , and . Tiny Papers @ ICLR, OpenReview.net, (2024)

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Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs., , , , , , , and . ICML, OpenReview.net, (2024)Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization., , , , , , , , , and 31 other author(s). CoRR, (2020)ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models., , , , , , and . CoRR, (2024)Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel., , , , and . Tiny Papers @ ICLR, OpenReview.net, (2024)Building Efficient Deep Neural Networks With Unitary Group Convolutions., , , , and . CVPR, page 11303-11312. Computer Vision Foundation / IEEE, (2019)Improving Neural Network Quantization without Retraining using Outlier Channel Splitting., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7543-7552. PMLR, (2019)Building Efficient Deep Neural Networks with Unitary Group Convolutions., , , , and . CoRR, (2018)Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models., , , , , and . CoRR, (2024)M4BRAM: Mixed-Precision Matrix-Matrix Multiplication in FPGA Block RAMs., , and . ICFPT, page 69-78. IEEE, (2023)Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization., , , , , , , , , and 31 other author(s). DATE, page 1026-1031. IEEE, (2021)