Pinned Repositories
drama-graph
Drama-Graph repository produces both knowledge base on drama scripts and video graph for Video Turing Test (VTT).
Maximum-Margin-LDAM
Learning Imbalanced Datasets With Maximum Margin Losss
multi-gpus-pytorch
Training mnist uing multiple gpus
PFNR
Winning SubNetwork (WSN), Fourier Subneural Operator (FSO), Video-Incremental Learning (VIL), Sequential Neural Implicit Representation (NIR)
SoftNet-3DLS
3D Loss Landscapes of SoftNet (Sparse Subnetwork)
SoftNet-FSCIL
Winning SubNetwork (WSN), Soft-SubNetwork (SoftNet)
Unbiased-SGG
variational-bayesian
viz-graph
Video Knowledge Builder and Graph
WSN
Winning SubNetwork (WSN)
ihaeyong's Repositories
ihaeyong/WSN
Winning SubNetwork (WSN)
ihaeyong/SoftNet-FSCIL
Winning SubNetwork (WSN), Soft-SubNetwork (SoftNet)
ihaeyong/Maximum-Margin-LDAM
Learning Imbalanced Datasets With Maximum Margin Losss
ihaeyong/PFNR
Winning SubNetwork (WSN), Fourier Subneural Operator (FSO), Video-Incremental Learning (VIL), Sequential Neural Implicit Representation (NIR)
ihaeyong/SoftNet-3DLS
3D Loss Landscapes of SoftNet (Sparse Subnetwork)
ihaeyong/multi-gpus-pytorch
Training mnist uing multiple gpus
ihaeyong/Awesome-Incremental-Learning
Awesome Incremental Learning
ihaeyong/awesome-multi-task-learning
2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
ihaeyong/bispectral-networks
ihaeyong/bitprune
ihaeyong/class-incremental-learning
PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
ihaeyong/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
ihaeyong/ContinualLM
ihaeyong/Coursera-Generative-Adversarial-Networks-GANs-Specialization
Coursera Generative Adversarial Networks (GANs) Specialization
ihaeyong/diffusion-classifier
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
ihaeyong/diffusion-ode
ihaeyong/FishLeg
Coming soon...
ihaeyong/fourierflow
[ICLR 2023] Factorized Fourier Neural Operators
ihaeyong/HNeRV
A hybrid neural representation for videos
ihaeyong/LieConv
ihaeyong/Long-Tailed-CIL
ihaeyong/Loss-Decoupling-for-Task-Agnostic-Continual-Learning
The official implementation of the NeurIPS'2023 work Loss Decoupling for Task-Agnostic Continual Learning
ihaeyong/pam
ihaeyong/PhotoMaker
PhotoMaker
ihaeyong/prompt-gradient-projection
ihaeyong/random-fourier-features
Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
ihaeyong/ToMe
A method to increase the speed and lower the memory footprint of existing vision transformers.
ihaeyong/torch-harmonics
Differentiable Spherical Harmonic transforms in PyTorch
ihaeyong/vision-transformers-cifar10
Let's train vision transformers (ViT) for cifar 10!
ihaeyong/Vit-RGTS
Open source implementation of "Vision Transformers Need Registers"