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]

Neural Vanishing Point Scanning via Conic Convolution

[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

Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

No description provided.

[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

No description provided.

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

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

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"

No description provided.

Code for paper "Object landmark discovery through unsupervised adaptation"

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

PyTorch implementation of CondConv and MobileNetV2 model

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

3rd place solution for NeurIPS 2019 MicroNet challenge

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

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

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

Learning Perceptual Inference by Contrasting