Neural Vanishing Point Scanning via Conic Convolution
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Updated
Aug 13, 2024 - Python
Neural Vanishing Point Scanning via Conic Convolution
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
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"
Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019
Reusable BatchBALD implementation
Noise Conditional Score Networks (NeurIPS 2019, Oral)
[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.
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
3rd placed submission to the NeurIPS MineRL competition 2019
(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"
NeurIPS 2019 Accepted - Extending Stein's Unbiased Risk Estimator to Train Deep Denoisers with Correlated Pairs of Noisy Images
Code, Pre-trained Models and some materials accompanying "Data-driven Estimation of Sinusoid Frequencies"
Learning Perceptual Inference by Contrasting
Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method
CellSignal (rxrx.ai) - NEURIPS 2019 COMPETITION
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