NeurAI
NeurAI Lab consists of a diverse, energetic team of researchers, working on neuro-inspired AI.
Netherlands
Pinned Repositories
biHomE
This is the official repo for the CVPR 2021 IMW paper: "Perceptual Loss for Robust Unsupervised Homography Estimation"
BiRT
Official Repository for the ICML 2023 paper "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning"
CLS-ER
The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System""
D-SSCD
Differencing based self-supervised change detection
DoGo
This is the official repo for the CVPR 2021 L2ID paper "Distill on the Go: Online knowledge distillation in self-supervised learning"
DSP
Differencing based Self-supervised pretraining for scene change detection
MIMDepth
Image Masking for Robust Self-Supervised Monocular Depth Estimation, accepted at ICRA 2023
MMC
The official PyTorch code for NeurIPS 2021 ML4AD Paper, "Does Thermal data make the detection systems more reliable?"
MT-SfMLearner
Official code for 'Transformers in Unsupervised Structure-from-Motion' and 'Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics'
SCoMMER
The official PyTorch code for AAAI'23 Paper "Sparse Coding in a Dual Memory System for Lifelong Learning"
NeurAI's Repositories
NeurAI-Lab/CLS-ER
The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System""
NeurAI-Lab/DSP
Differencing based Self-supervised pretraining for scene change detection
NeurAI-Lab/BiRT
Official Repository for the ICML 2023 paper "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning"
NeurAI-Lab/MT-SfMLearner
Official code for 'Transformers in Unsupervised Structure-from-Motion' and 'Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics'
NeurAI-Lab/MIMDepth
Image Masking for Robust Self-Supervised Monocular Depth Estimation, accepted at ICRA 2023
NeurAI-Lab/SCoMMER
The official PyTorch code for AAAI'23 Paper "Sparse Coding in a Dual Memory System for Lifelong Learning"
NeurAI-Lab/ConsistencyCL
Official repo for "Consistency is the key to further mitigating catastrophic forgetting in continual learning"
NeurAI-Lab/DARE
Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"
NeurAI-Lab/TAMiL
Official repository for "Task-Aware Information Routing from Common Representation Space in Lifelong Learning"
NeurAI-Lab/TARC
Official repo for "Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach"
NeurAI-Lab/ESMER
The official repository for ICLR'23 Paper "Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning"
NeurAI-Lab/G2S
The official code for ICRA 2021 Paper: "Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation"
NeurAI-Lab/Bio-ANN
The official repository for TMLR paper "A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning""
NeurAI-Lab/CUDE-MonoDepthCL
Code for WACV'24 paper Continual Learning of Unsupervised Monocular Depth from Videos
NeurAI-Lab/DynamicContinualLearning
Official Repository for the VISAPP 2023 paper "Dynamically Modular and Sparse General Continual Learning".
NeurAI-Lab/TriRE
Official repository for NeurIPS'23 paper "TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion"
NeurAI-Lab/DUCA
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
NeurAI-Lab/IMEX-Reg
IMEX-Reg TMLR 2024
NeurAI-Lab/MTSL
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
NeurAI-Lab/LURE
Official repo of the TMLR paper "Learn, Unlearn and Relearn: An Online Learning Paradigm for Deep Neural Networks"
NeurAI-Lab/CURE
Official repository for ICLR'24 paper "Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training"
NeurAI-Lab/DN4IL-dataset
A new dataset for Domain-Incremental level setting in Continual Learning
NeurAI-Lab/FOMO
Mitigating robust overfitting in adversarial training using random forgetting
NeurAI-Lab/LIFE
The official PyTorch code for Pattern Recognition Paper "Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation"
NeurAI-Lab/SSL-Prior
NeurAI-Lab/AGILE
AGILE
NeurAI-Lab/GreenerAI
Code for "Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs" accepted at AIxIA 2021
NeurAI-Lab/ProgressiveDecoderFusion
Progressive Decoder Fusion, Accepted at CoLLAs, 2022.
NeurAI-Lab/Dynamic-Neural-Regeneration
Dynamic
NeurAI-Lab/MultiModal-CL
The official PyTorch code for CoLLAs'24 Paper "Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning"