Neurips 2020 paper on weakly supervised deep functional maps for shape matching
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Updated
Sep 30, 2020 - Python
Neurips 2020 paper on weakly supervised deep functional maps for shape matching
Code for Self-Supervised Few-Shot Learning on Point Clouds paper at NeurIPS 2020
Code for the paper "Sparse Symplectically Integrated Neural Networks"
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": LXMERT adversarial training part
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Black-box optimizer submitted to BBO challenge at NeurIPS 2020
Summaries of talks and workshops I followed at NeurIPS 2020
The implementation of NeurIPS_2020_L2RPN_Track1(Robustness) and Track2 (Adaptability) Competition
PyTorch implementation of NeurIPS 2020 paper "Pruning Filter in Filter".
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
A list of all papers related to anomaly detection in NeurIPS 2020.
Code for the website of the NeurIPS 2020 workshop on 'Topological Data Analysis and Beyond'
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
PyTorch implementation of "STNs" and "Delta-STNs".
(NeurIPS 2020) Meta-Consolidation for Continual Learning
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