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A new stochastic mutiplier for deep neural networks., , and . ISOCC, page 46-47. IEEE, (2017)Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding., , , , and . AAAI, page 2795-2803. AAAI Press, (2024)A new approach to binarizing neural networks., , , and . ISOCC, page 77-78. IEEE, (2016)NN-LUT: neural approximation of non-linear operations for efficient transformer inference., , , , , , and . DAC, page 577-582. ACM, (2022)NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference., , , , , , and . CoRR, (2021)Hybrid spiking-stochastic Deep Neural Network., , and . VLSI-DAT, page 1-4. IEEE, (2017)Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks., , , , , and . DAC, page 124:1-124:6. ACM, (2016)It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher., , , , , , and . CVPR, page 8301-8311. IEEE, (2022)Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting., , , , and . CoRR, (2024)ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning., , and . CVPR, page 3346-3356. IEEE, (2024)