Training Discrete Deep Generative Models via Gapped Straight-Through Estimator

15 June 2022

Papers citing "Training Discrete Deep Generative Models via Gapped Straight-Through Estimator"

7 / 7 papers shown

Title
Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation Sirine Arfa Bernhard Vogginger Chen Liu Johannes Partzsch Mark Schöne Christian Mayr 24 0 0 09 Apr 2025
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks Sreyes P. Venkatesh Razvan Marinescu Jason Eshraghian MQ 25 5 0 15 Apr 2024
VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism Jiawei Wu Mingyuan Yan Dianbo Liu 32 2 0 05 Mar 2024
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers Johannes Zenn Robert Bamler 27 3 0 27 Apr 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond Liyuan Liu Chengyu Dong Xiaodong Liu Bin-Xia Yu Jianfeng Gao BDL 16 20 0 17 Apr 2023
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck Anirban Samaddar Sandeep Madireddy Prasanna Balaprakash Tapabrata Maiti Gustavo de los Campos Ian Fischer 6 1 0 04 Mar 2022
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 34 38 0 09 Oct 2020