vkverma01

AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

Approximate-HetConv

An approximate but simple implementation of HetConv

Calibrating-CNNs-for-Lifelong-Learning

Conference_Acceptance_rate

Efficient-HetConv-Heterogeneous-Kernel-Based-Convolutions

Efficient HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

EFT

Class Incremental learning, Task Incremental Learning

Generative_Continual_Learning

meta-gzsl

Meta-Learning for Generalized Zero-Shot Learning

Zero-Shot-Learning

Zero-Shot Learning

zsl-deep-learning

Zero-shot learning experiments by deep learning.

vkverma01/meta-gzsl

Meta-Learning for Generalized Zero-Shot Learning

vkverma01/Zero-Shot-Learning

Zero-Shot Learning

vkverma01/EFT

Class Incremental learning, Task Incremental Learning

vkverma01/zsl-deep-learning

Zero-shot learning experiments by deep learning.

vkverma01/AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

vkverma01/Approximate-HetConv

An approximate but simple implementation of HetConv

vkverma01/Calibrating-CNNs-for-Lifelong-Learning

vkverma01/Conference_Acceptance_rate

vkverma01/Efficient-HetConv-Heterogeneous-Kernel-Based-Convolutions

Efficient HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

vkverma01/Generative_Continual_Learning

vkverma01/HetConvolution2d_pytorch

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement

vkverma01/NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

vkverma01/PRML

PRML algorithms implemented in Python

vkverma01/ZSCRGAN

vkverma01/ZSL-ADA

Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"