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

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

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

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

Neural Vanishing Point Scanning via Conic Convolution

[NeurIPS 2019] Deep Set Prediction Networks

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

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

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

A comprehensive collection of GNN works in NeurIPS 2019.

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"

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

Code for paper "Object landmark discovery through unsupervised adaptation"

Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution, AAAI 2020 and NeurIPS 2019 Bayesian Deep Learning Workshop

Reusable BatchBALD implementation

Twin Auxiliary Classifiers GAN (NeurIPS 2019) [Spotlight]

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

Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019

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

(NeurIPS 2019) Deep Model Transferbility from Attribution Maps

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

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians

Code for the paper: Spatial and Colour Opponency in Anatomically Constrained Deep Networks

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