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differentiable programming

102 papers

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Co-occurring keywords

neural network (6616) automatic differentiation (77) optimal transport (948) neural network optimization (1293) gradient-based optimization (192) convolutional neural network (4226) end-to-end learning (457) gradient estimation (150) deep learning (2118) policy gradient (520)

Papers

Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients NIPS 2020
PLLay: Efficient Topological Layer based on Persistent Landscapes NIPS 2020
Hide and Speak: Towards Deep Neural Networks for Speech Steganography INTERSPEECH 2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks CVPR 2020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection CVPR 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation ICML 2020
NeuMiss networks: differentiable programming for supervised learning with missing values. NIPS 2020
Black-Box Optimization with Local Generative Surrogates NIPS 2020
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening ACML 2019
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective AAAI 2019
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming ACL 2019
Differentiable Ranking and Sorting using Optimal Transport NIPS 2019
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation ICCV 2019
A fully differentiable beam search decoder ICML 2019
Differentiable Convex Optimization Layers NIPS 2019
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming NIPS 2018
Differentiable Dynamic Programming for Structured Prediction and Attention ICML 2018
Differentiable MPC for End-to-end Planning and Control NIPS 2018
Particle Filter Networks with Application to Visual Localization CORL 2018
DehazeGAN: When Image Dehazing Meets Differential Programming IJCAI 2018
Programming with a Differentiable Forth Interpreter ICML 2017
Soft-DTW: a Differentiable Loss Function for Time-Series ICML 2017
Differentiable Learning of Logical Rules for Knowledge Base Reasoning NIPS 2017
End-to-End Differentiable Adversarial Imitation Learning ICML 2017
Differentiable Programs with Neural Libraries ICML 2017