DLwbm123
Hi I am Wang Bomin, a PhD student of Fudan University,Shanghai, CHINA. Majored in Data Science.
Fudan UniversityShanghai, China
Pinned Repositories
3D-Human-Pose-Estimation-Notes
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
CapsuleVOS
compsensing_dip
Compressed sensing with deep image prior algorithm
LBAM_inpainting
Pytorch implementation of paper : Image Inpainting with Learnable Bidirectional Attention Map (ICCV, 2019)
learning_filter_basis
Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression"
medical-data
OCMIST
GUI for MICCAI 2019 "Interactive deep editing framework for medical image segmentation" (One-click medical image segmentation tool!)
RL-CSC
Codes for "Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding"
DLwbm123's Repositories
DLwbm123/subnetwork-inference
Code for "Bayesian Deep Learning via Subnetwork Inference" (https://arxiv.org/abs/2010.14689)
DLwbm123/ACS
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
DLwbm123/bayesian-coresets
Automated Scalable Bayesian Inference
DLwbm123/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
DLwbm123/CISR
Titled by "Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites".
DLwbm123/CL_Atom_Swapping
ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping
DLwbm123/DER-ClassIL.pytorch
The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021
DLwbm123/Differentially-Private-Deep-Learning
This repo implements several algorithms for learning with differential privacy.
DLwbm123/DomainBed
DomainBed is a suite to test domain generalization algorithms
DLwbm123/DPFed
DLwbm123/federated_pca
Federated Principal Component Analysis Revisited!
DLwbm123/fish
Official implementation of paper Gradient Matching for Domain Generalization
DLwbm123/ganslate
Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.
DLwbm123/IGMC_CX
DLwbm123/IMP_GCN
Pytorch Implementation of Interest-Aware Message-Passing GCN for Recommender Systems
DLwbm123/KT-pFL
DLwbm123/LASEM
Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"
DLwbm123/loss-landscape
Code for visualizing the loss landscape of neural nets
DLwbm123/MixGCF
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
DLwbm123/natural-continual-learning
Natural Continual Learning
DLwbm123/NIID-Bench
Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
DLwbm123/RCIL
[CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation
DLwbm123/RECALL
Official TensorFlow implementation of "RECALL: Replay-based Continual Learning in Semantic Segmentation", ICCV 2021
DLwbm123/sqwash
Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.
DLwbm123/TAWT
DLwbm123/TernaryFeatureMasks
Implementation of "Ternary Feature Masks: zero-forgetting for task-incremental learning"
DLwbm123/Transformer_for_medical_image_analysis
A collection of papers about Transformer in the field of medical image analysis.
DLwbm123/UCL-1
Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
DLwbm123/VC-BML
DLwbm123/wdro_local_perturbation
Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)