Pinned Repositories
-A-Min-Max-Optimization-Framework-for-Online-Graph-Classification
AAAI20
Theoretical Proof for AAAI-20 paper "Distributed Primal-Dual Optimization for Online Multi-Task Learning"
agem
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
Autoencoders_cf
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Awesome-Incremental-Learning
Awesome Incremental Learning
awesome-multi-task-learning
2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
GCN-MF
Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
YoungBigBird1985's Repositories
YoungBigBird1985/GCN-MF
YoungBigBird1985/Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
YoungBigBird1985/-A-Min-Max-Optimization-Framework-for-Online-Graph-Classification
YoungBigBird1985/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
YoungBigBird1985/awesome-multi-task-learning
2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
YoungBigBird1985/Awesome-Pruning
A curated list of neural network pruning resources.
YoungBigBird1985/Bilevel-Continual-Learning
YoungBigBird1985/Calibrating-CNNs-for-Lifelong-Learning
YoungBigBird1985/class-incremental-learning
PyTorch implementation for AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)
YoungBigBird1985/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
YoungBigBird1985/Contextual-Transformation-Network
YoungBigBird1985/Convolutional-Net-Prototype-Ensemble
implement of ICDE 2019 paper: Robust High Dimensional Stream Classification with Novel Class Detection
YoungBigBird1985/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
YoungBigBird1985/DeeperGNN
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
YoungBigBird1985/DGN
Pytorch implementation of differentiable group normalization (NeurIPS 2020)
YoungBigBird1985/ebm-continual-learning
Energy-Based Models for Continual Learning Official Repository (PyTorch)
YoungBigBird1985/Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
YoungBigBird1985/HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
YoungBigBird1985/insightface
State-of-the-art 2D and 3D Face Analysis Project
YoungBigBird1985/InstAParam
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization (NeurIPS'20)
YoungBigBird1985/M3ViT
[NeurIPS 2022] “M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design”, Hanxue Liang*, Zhiwen Fan*, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
YoungBigBird1985/mammoth
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
YoungBigBird1985/on-the-adversarial-robustness-of-visual-transformer
Code for the paper "On the Adversarial Robustness of Visual Transformers"
YoungBigBird1985/PRS
Official Repository for our ECCV2020 paper: Imbalanced Continual Learning with Partitioning Reservoir Sampling
YoungBigBird1985/pytorchfi
A runtime fault injection tool for PyTorch :fire:
YoungBigBird1985/SDC-IL
Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
YoungBigBird1985/SimulatorAttack
The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"
YoungBigBird1985/TheoreticalProof
YoungBigBird1985/Virtual-Fully-Connected-Layer
YoungBigBird1985/vision_transformer