Deep Differentiable Logic Gate Networks

15 October 2022

Papers citing "Deep Differentiable Logic Gate Networks"

35 / 35 papers shown

Title
Differentiable Weightless Neural Networks Alan T. L. Bacellar Zachary Susskind Mauricio Breternitz Jr. E. John L. John P. Lima F. M. G. França 106 7 0 14 Oct 2024
Learning with Differentiable Algorithms Felix Petersen OOD 47 11 0 01 Sep 2022
GenDR: A Generalized Differentiable Renderer Felix Petersen Bastian Goldluecke Christian Borgelt Oliver Deussen 86 17 0 29 Apr 2022
Monotonic Differentiable Sorting Networks Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen 63 26 0 17 Mar 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training Shiwei Liu Tianlong Chen Xiaohan Chen Li Shen Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy 83 113 0 05 Feb 2022
Learning with Algorithmic Supervision via Continuous Relaxations Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen CLL 83 27 0 11 Oct 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen 88 30 0 09 May 2021
Effective Sparsification of Neural Networks with Global Sparsity Constraint Xiao Zhou Weizhong Zhang Hang Xu Tong Zhang 150 63 0 03 May 2021
Differentiable Logic Machines Matthieu Zimmer Xuening Feng Claire Glanois Zhaohui Jiang Jianyi Zhang Paul Weng Li Dong Hao Jianye Liu Wulong AI4CE 62 23 0 23 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 316 725 0 31 Jan 2021
Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks Gang Chen 40 8 0 12 Dec 2020
Learning Binary Decision Trees by Argmin Differentiation Valentina Zantedeschi Matt J. Kusner Vlad Niculae 55 13 0 09 Oct 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 132 471 0 31 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 280 1,054 0 06 Mar 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 86 109 0 20 Feb 2020
Analyzing Differentiable Fuzzy Logic Operators Emile van Krieken Erman Acar F. V. Harmelen NAI AI4CE 109 136 0 14 Feb 2020
Making Logic Learnable With Neural Networks Tobias Brudermueller Dennis L. Shung A. Stanley Johannes Stegmaier Smita Krishnaswamy NAI 39 2 0 10 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 556 42,639 0 03 Dec 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 62 384 0 31 Jul 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 67 242 0 11 Jun 2019
Differentiable Ranks and Sorting using Optimal Transport Marco Cuturi O. Teboul Jean-Philippe Vert OT 86 159 0 28 May 2019
A Standalone FPGA-based Miner for Lyra2REv2 Cryptocurrencies J. Têtu Louis-Charles Trudeau Michiel Van Beirendonck Alexios Balatsoukas-Stimming P. Giard 42 9 0 21 May 2019
PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration Sangkug Lym Esha Choukse Siavash Zangeneh W. Wen Sujay Sanghavi M. Erez CVBM 51 87 0 26 Jan 2019
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 75 955 0 16 May 2018
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 439 1,148 0 04 Dec 2017
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science Decebal Constantin Mocanu Elena Mocanu Peter Stone Phuong H. Nguyen M. Gibescu A. Liotta 182 637 0 15 Jul 2017
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 183 628 0 05 Mar 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 178 831 0 19 Jan 2017
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 104 996 0 01 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,390 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 200 2,541 0 02 Nov 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,862 0 01 Oct 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 207 2,049 0 09 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
A Knowledge Compilation Map Adnan Darwiche Pierre Marquis 101 953 0 09 Jun 2011