Topic: catastrophic-forgetting Goto Github
Some thing interesting about catastrophic-forgetting
Some thing interesting about catastrophic-forgetting
catastrophic-forgetting,This is the repo for the master thesis at ITA - RWTH Aachen
User: alexgabriel28
catastrophic-forgetting,Continual Learning methods using Episodic Memory (CLEM) in PyTorch
User: cjbayron
catastrophic-forgetting,[IROS2022] Official repository of InCloud: Incremental Learning for Point Cloud Place Recognition, Published in IROS2022 https://arxiv.org/abs/2203.00807
Organization: csiro-robotics
Home Page: https://ieeexplore.ieee.org/document/9981252
catastrophic-forgetting,Codebase for Neuro-Symbolic Continual Learning.
User: ema-marconato
catastrophic-forgetting,A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
User: ennengyang
Home Page: https://arxiv.org/abs/2307.09218
catastrophic-forgetting,Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV, 2023.
User: ennengyang
catastrophic-forgetting,Pre-training and Lifelong learning for User Embedding and Recommender System
User: fajieyuan
catastrophic-forgetting,papers of universal user representation learning for recommendation
User: fajieyuan
catastrophic-forgetting,This is repository contains code for experiment to evaluate catastrophic forgetting in neural networks.
User: gauravaror
catastrophic-forgetting,[ECMLPKDD 2022] "Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks" by by Ghada Sokar, Decebal Constantin Mocanu, and Mykola Pechenizkiy.
User: ghadasokar
catastrophic-forgetting,Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
User: ghadasokar
catastrophic-forgetting,Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
User: h3lio5
catastrophic-forgetting,An implementation of the Hopfield network in Python. Includes a lot of additional classes, functions, and structures to test Sequential Learning, Energy, and other properties of the Hopfield Network.
User: hmcalister
catastrophic-forgetting,An investigation into sequential learning of tasks using feed-forward networks built with Tensorflow
User: hmcalister
catastrophic-forgetting,Simulation code for Limbacher, T. and Legenstein, R. (2020). Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring
Organization: igitugraz
catastrophic-forgetting,Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
User: imirzadeh
catastrophic-forgetting,Supervised learning in PyTorch with prioritized memory replay.
User: jakobj
catastrophic-forgetting,Continual Contrastive Anomaly Detection under Natural Data Distribution Shifts
User: jingyuyang1997
catastrophic-forgetting,SupportNet: solving catastrophic forgetting in class incremental learning with support data
User: liyu95
catastrophic-forgetting,Keras-based framework for implementing continual learning methods.
User: lshug
catastrophic-forgetting,Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
Organization: lttm
Home Page: https://lttm.dei.unipd.it/paper_data/IL/
catastrophic-forgetting,Repository of continual learning papers
User: mccaffary
catastrophic-forgetting,This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to be published at the First Conference on Lifelong Learning Agents (CoLLAs).
User: msrocean
catastrophic-forgetting,Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".
Organization: openmatch
catastrophic-forgetting,Continual Learning with Echo State Networks experiments
Organization: pervasive-ai-lab
catastrophic-forgetting,The official implementation of MeDQN algorithm.
User: qlan3
catastrophic-forgetting,A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).
User: raptormai
catastrophic-forgetting,theoretical framework for continual learning / incremental learning
User: rom1mouret
catastrophic-forgetting,detecting domain boundaries during inference
User: rom1mouret
catastrophic-forgetting,
User: srvcodes
catastrophic-forgetting,Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the code has been implemented to perform training and evaluation of UDA approaches in continuous scenarios. The library has been implemented in PyTorch 1.7.1. Some newer versions should work as well.
User: theo2021
catastrophic-forgetting,An implementation of the paper "Overcoming catastrophic forgetting in neural networks" (DeepMind, 2016), using Pytorch framework.
User: thuyngch
catastrophic-forgetting,A simple experiment to compare Artificial and Spiking Neural Networks in Sequential and Few-Shot Learning.
User: thvnvtos
catastrophic-forgetting,[IWANN 2021] Reducing catastrophic forgetting in 3D point cloud objects with help of semantic information
User: townim-faisal
catastrophic-forgetting,An Extensible Continual Learning Framework Focused on Language Models (LMs)
Organization: uic-liu-lab
catastrophic-forgetting,[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning
Organization: uic-liu-lab
catastrophic-forgetting,Repo for competition track Lifelong Robotic Vision, IROS 2019.
User: vidit98
catastrophic-forgetting,An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Organization: vision-intelligence-and-robots-group
catastrophic-forgetting,The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch
User: wangkiw
catastrophic-forgetting,A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"
User: wannabeog
catastrophic-forgetting,A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"
User: wannabeog
catastrophic-forgetting,Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"
User: zeta36
catastrophic-forgetting,The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.
User: zhoudw-zdw
Home Page: http://arxiv.org/abs/2302.03648
catastrophic-forgetting,The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR'22) in PyTorch.
User: zhoudw-zdw
Home Page: https://arxiv.org/abs/2203.06953
catastrophic-forgetting,The code repository for "Co-Transport for Class-Incremental Learning" (ACM MM'21) in PyTorch.
User: zhoudw-zdw
Home Page: https://arxiv.org/abs/2107.12654
catastrophic-forgetting,The code repository for "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need" in PyTorch.
User: zhoudw-zdw
Home Page: http://arxiv.org/abs/2303.07338
catastrophic-forgetting,The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
User: zhoudw-zdw
Home Page: https://ieeexplore.ieee.org/document/9864267
catastrophic-forgetting,Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
User: zixuanke
catastrophic-forgetting,Code for ECML/PKDD 2020 Paper --- Continual Learning with Knowledge Transfer for Sentiment Classification
User: zixuanke
catastrophic-forgetting,PyContinual (An Easy and Extendible Framework for Continual Learning)
User: zixuanke
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