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Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition
[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…
PyTorch implementations of Generative Adversarial Networks.
LPIPS metric. pip install lpips
This is the official implementation of NNSplitter (ICML'23)
A Collection of Variational Autoencoders (VAE) in PyTorch.
This is a term project for ELE851 - Detection & Estimation Theory - Spring 2021
[NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
Code for paper "Orthogonal Convolutional Neural Networks".
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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
Pretrained models on CIFAR10/100 in PyTorch
Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators
Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization
A pytorch implementation of MINE(Mutual Information Neural Estimation)
Mutual Information Neural Estimation in Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
[ICDCS 2023] "SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing"
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
Corruption and Perturbation Robustness (ICLR 2019)
A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.