[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
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
Implementation of Neuron-level Structured Pruning using Polarization Regularizer
[NeurIPS 2020] Official PyTorch Implementation of "Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis". NeurIPS 2020.
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper
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