Learning with Algorithmic Supervision via Continuous Relaxations

11 October 2021

Papers citing "Learning with Algorithmic Supervision via Continuous Relaxations"

11 / 11 papers shown

Title
Differentiable Divergences Between Time Series Mathieu Blondel A. Mensch Jean-Philippe Vert AI4TS 89 39 0 16 Oct 2020
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Wenzheng Chen Jun Gao Huan Ling Edward James Smith J. Lehtinen Alec Jacobson Sanja Fidler 3DH 3DV 88 362 0 03 Aug 2019
Differentiable Ranks and Sorting using Optimal Transport Marco Cuturi O. Teboul Jean-Philippe Vert OT 81 158 0 28 May 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover Eric Wang Aaron Zweig Stefano Ermon 63 174 0 21 Mar 2019
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder Caio Corro Ivan Titov BDL 40 56 0 25 Jul 2018
Neural 3D Mesh Renderer Hiroharu Kato Yoshitaka Ushiku Tatsuya Harada 3DV 73 1,045 0 20 Nov 2017
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 169 623 0 05 Mar 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 334 5,364 0 03 Nov 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 162 5,530 0 09 Dec 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 97 2,328 0 20 Oct 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 552 27,300 0 01 Sep 2014