[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
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Updated
Nov 12, 2023 - Python
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
Code for rendering images for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"
Official code for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"
[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
Python implementation of the CHIP network model, published in NeurIPS 2020.
NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.
Code for the paper "Strongly Incremental Constituency Parsing with Graph Neural Networks"
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Probabilistic Linear Solvers for Machine Learning (NeurIPS 2020)
Predicting galaxy spectra from images
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
Implementation of Neuron-level Structured Pruning using Polarization Regularizer
PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)
Patch2Self Denoising - NeurIPS 2020 Spotlight Presentation
NeurIPS 2020, "A Topological Filter for Learning with Label Noise".
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