Code for Self-Supervised Few-Shot Learning on Point Clouds paper at NeurIPS 2020
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Updated
Oct 10, 2020 - Python
Code for Self-Supervised Few-Shot Learning on Point Clouds paper at NeurIPS 2020
Official Code for paper Stochastic Deep Gaussian Processes over Graphs [NeurIPS20']
Code for the paper "Sparse Symplectically Integrated Neural Networks"
Official code for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"
Generative View Synthesis: from Single-view Semantics to Novel-view Images, Habtegebrial et al. NeurIPS 2020
Code for rendering images for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": LXMERT adversarial training part
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
The implementation of paper "Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks"
Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
PyTorch implementation of NeurIPS 2020 paper "Pruning Filter in Filter".
Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
Neurips 2020 paper on weakly supervised deep functional maps for shape matching
PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.
The implementation of NeurIPS_2020_L2RPN_Track1(Robustness) and Track2 (Adaptability) Competition
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