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/ACS
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
DLwbm123/adaxpert0
DLwbm123/Awesome-Federated-Machine-Learning
A curated list of awesome federated machine learning resources, including research papers, codes, tutorials, blogs and beyond
DLwbm123/CGDM
Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021
DLwbm123/CISR
Titled by "Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites".
DLwbm123/CL-Gym
CL-Gym: Full-Featured PyTorch Library for Continual Learning
DLwbm123/continual-learning-papers
Continual Learning papers list, curated by ContinualAI
DLwbm123/CrossGradientAggregation
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/domain_shift_anatomy
DLwbm123/DomainBed
DomainBed is a suite to test domain generalization algorithms
DLwbm123/FedWeIT
This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
DLwbm123/fish
Official implementation of paper Gradient Matching for Domain Generalization
DLwbm123/geodesic_continual_learning
This is a public repository for:
DLwbm123/KD_SRRL
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/online-continual-learning
A collection of online continual learning paper implementations for computer vision in PyTorch, including ASER(AAAI-21), SCR(CVPR21-W) and a survey under review.
DLwbm123/Proceedings_IEEE_companion_notebooks
Code for our IEEE special issue on tensor methods for DL and CV
DLwbm123/RECALL
Official TensorFlow implementation of "RECALL: Replay-based Continual Learning in Semantic Segmentation", ICCV 2021
DLwbm123/ReMI-Net
Recurrent multigraph integrator network using graph neural network.
DLwbm123/SOC
DLwbm123/sqwash
Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.
DLwbm123/STW
DLwbm123/TernaryFeatureMasks
Implementation of "Ternary Feature Masks: zero-forgetting for task-incremental learning"
DLwbm123/TruncatedSVDupdates
Projection techniques to update the truncated SVD of evolving matrices with applications
DLwbm123/WBTransport
This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic Adaptation" at ICASSP/2021 (to appear)
DLwbm123/wdro_local_perturbation
Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)