Noise Conditional Score Networks (NeurIPS 2019, Oral)
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Updated
Feb 14, 2024 - Python
Noise Conditional Score Networks (NeurIPS 2019, Oral)
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
[NeurIPS 2019] Face Reconstruction from Voice using Generative Adversarial Networks
(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
Neural Vanishing Point Scanning via Conic Convolution
Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
[NeurIPS 2019] Deep Set Prediction Networks
[NeurIPS 2019] This is the code repo of our novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.
Reusable BatchBALD implementation
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019
Code, Pre-trained Models and some materials accompanying "Data-driven Estimation of Sinusoid Frequencies"
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