neurips-2019

ermongroup/ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

lrjconan/GRAN

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

White-Link/UnsupervisedScalableRepresentationLearningTimeSeries

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

ds4dm/learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

bknyaz/graph_attention_pool

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

cmu-mlsp/reconstructing_faces_from_voices

[NeurIPS 2019] Face Reconstruction from Voice using Generative Adversarial Networks

Xharlie/DISN

(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

zhou13/neurvps

Neural Vanishing Point Scanning via Conic Convolution

gengshan-y/VCN

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

apple/ml-multiple-futures-prediction

Cyanogenoid/dspn

[NeurIPS 2019] Deep Set Prediction Networks

kamwoh/DeepIPR

[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.

apple/ml-data-parameters

BlackHC/batchbald_redux

Reusable BatchBALD implementation

layer6ai-labs/GSS

Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

varungohil/Generalizing-Lottery-Tickets

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"

husthuaan/AAT

Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019

sreyas-mohan/DeepFreq

Code, Pre-trained Models and some materials accompanying "Data-driven Estimation of Sinusoid Frequencies"

apple/ml-afv

choyingw/CFCNet

NeurIPS 2019: Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion

agadetsky/pytorch-pl-variance-reduction

[AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution

ESanchezLozano/SAIC-Unsupervised-landmark-detection-NeurIPS2019

Code for paper "Object landmark discovery through unsupervised adaptation"

yashbhalgat/QualcommAI-MicroNet-submission-MixNet

3rd place solution for NeurIPS 2019 MicroNet challenge

d-li14/condconv.pytorch

PyTorch implementation of CondConv and MobileNetV2 model

petosa/multiplayer-alphazero

PyTorch AlphaZero implementation with multiplayer support [NeurIPS 2019 Deep Reinforcement Learning Workshop]

wy1iu/NSL

Implementation for <Neural Similarity Learning> in NeurIPS'19.

divyat09/cf-feasibility

Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

WellyZhang/CoPINet

Learning Perceptual Inference by Contrasting

Kthyeon/KAIST-AI-NeurIPS2019-MicroNet-2nd-place-solution

NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".

cshjin/gnn_in_neurips_2019

A comprehensive collection of GNN works in NeurIPS 2019.

tesslerc/GAC

Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"

zju-vipa/TransferbilityFromAttributionMaps

(NeurIPS 2019) Deep Model Transferbility from Attribution Maps

Magauiya/Extended_SURE

NeurIPS 2019 Accepted - Extending Stein's Unbiased Risk Estimator to Train Deep Denoisers with Correlated Pairs of Noisy Images

Lee-Gihun/MicroNet_OSI-AI

(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"

YRussac/WeightedLinearBandits

Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"