Awesome Incremental Learning / Lifelong learning

Survey

Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks (arXiv 2022) [paper]
Recent Advances of Continual Learning in Computer Vision: An Overview (arXiv 2021) [paper]
Replay in Deep Learning: Current Approaches and Missing Biological Elements (Neural Computation 2021) [paper]
Online Continual Learning in Image Classification: An Empirical Survey (Neurocomputing 2021) [paper] [code]
Continual Lifelong Learning in Natural Language Processing: A Survey (COLING 2020) [paper]
Class-incremental learning: survey and performance evaluation (arXiv 2020) [paper] [code]
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks (Neural Networks) [paper] [code]
A continual learning survey: Defying forgetting in classification tasks (TPAMI 2021) [paper] [arxiv]
Continual Lifelong Learning with Neural Networks: A Review (Neural Networks) [paper]
Three scenarios for continual learning (arXiv 2019) [paper][code]

Papers

2022

Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks (TPAMI2022) [paper] [code]
Feature Boosting and Compression for Class-Incremental Learning (ECCV2022) [paper] [code]
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer (ECCV2022) [paper] [code]
Anti-Retroactive Interference for Lifelong Learning (ECCV2022) [paper]
Novel Class Discovery without Forgetting (ECCV2022) [paper]
Class-incremental Novel Class Discovery (ECCV2022) [paper]
Few-Shot Class Incremental Learning From an Open-Set Perspective(ECCV2022)[paper]
Incremental Task Learning with Incremental Rank Updates(ECCV2022)[paper]
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay(ECCV2022)[paper]
Online Continual Learning with Contrastive Vision Transformer (ECCV2022)[paper]
Transfer without Forgetting (ECCV2022) [paper][code]
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency (PRL 2022) [paper][code]
GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning (CVPR2022) [paper]
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning (CVPR2022) [paper]
Continual Learning With Lifelong Vision Transformer (CVPR2022) [paper]
Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector (CVPR2022) [paper]
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches (CVPR2022) [paper]
Continual Learning for Visual Search with Backward Consistent Feature Embedding (CVPR2022) [paper]
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries (CVPR2022) [paper]
Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency (CVPR2022) [paper]
Bring Evanescent Representations to Life in Lifelong Class Incremental Learning (CVPR2022) [paper]
Lifelong Graph Learning (CVPR2022) [paper]
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation (CVPR2022) [paper]
vCLIMB: A Novel Video Class Incremental Learning Benchmark (CVPR2022) [paper]
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation(CVPR2022) [paper]
Few-Shot Incremental Learning for Label-to-Image Translation (CVPR2022) [paper]
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning (CVPR2022) [paper]
Incremental Learning in Semantic Segmentation from Image Labels (CVPR2022) [paper]
Self-Supervised Models are Continual Learners (CVPR2022) [paper] [code]
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation (TPAMI 2022) [paper]
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation (TMM 2022) [paper]
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data (CVPR2022) [paper]
General Incremental Learning with Domain-aware Categorical Representations (CVPR2022) [paper]
Constrained Few-shot Class-incremental Learning (CVPR2022) [paper]
Overcoming Catastrophic Forgetting in Incremental Object Detectionvia Elastic Response Distillation (CVPR2022) [paper]
Class-Incremental Learning with Strong Pre-trained Models (CVPR2022) [paper]
Energy-based Latent Aligner for Incremental Learning (CVPR2022) [paper] [code]
Meta-attention for ViT-backed Continual Learning (CVPR2022) [paper] [code]
Learning to Prompt for Continual Learning (CVPR2022) [paper] [code]
On Generalizing Beyond Domains in Cross-Domain Continual Learning (CVPR2022) [paper]
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning (CVPR2022) [paper]
Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding (CVPR2022) [paper] [code]
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning (CVPR2022) [paper] [code]
Forward Compatible Few-Shot Class-Incremental Learning (CVPR2022) [paper] [code]
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning (CVPR2022) [paper]
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion (CVPR2022) [paper]
Federated Class-Incremental Learning (CVPR2022) [paper] [code]
Representation Compensation Networks for Continual Semantic Segmentation (CVPR2022) [paper]
Self-training for class-incremental semantic segmentation (TNNLS2022) [paper]
Effects of Auxiliary Knowledge on Continual Learning (ICPR2022) [paper]
Continual Sequence Generation with Adaptive Compositional Modules (ACL2022) [paper]
Learngene: From Open-World to Your Learning Task (AAAI2022) [paper] [code]
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning (TPAMI2022) [paper]
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning (ICLR2022) [paper]
Continual Learning with Filter Atom Swapping (ICLR2022) [paper]
Continual Learning with Recursive Gradient Optimization (ICLR2022) [paper]
TRGP: Trust Region Gradient Projection for Continual Learning (ICLR2022) [paper]
Looking Back on Learned Experiences For Class/task Incremental Learning (ICLR2022) [paper]
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning (ICLR2022) [paper]
Model Zoo: A Growing Brain That Learns Continually (ICLR2022) [paper]
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting (ICLR2022) [paper]
Memory Replay with Data Compression for Continual Learning (ICLR2022) [paper]
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System (ICLR2022) [paper]
Online Coreset Selection for Rehearsal-based Continual Learning (ICLR2022) [paper]
Pretrained Language Model in Continual Learning: A Comparative Study (ICLR2022) [paper]
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference (ICLR2022) [paper]
New Insights on Reducing Abrupt Representation Change in Online Continual Learning (ICLR2022) [paper]
Towards Continual Knowledge Learning of Language Models (ICLR2022) [paper]
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability (ICLR2022) [paper]
CoMPS: Continual Meta Policy Search (ICLR2022) [paper]
Information-theoretic Online Memory Selection for Continual Learning (ICLR2022) [paper]
Subspace Regularizers for Few-Shot Class Incremental Learning (ICLR2022) [paper]
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 (ICLR2022) [paper]
Effect of scale on catastrophic forgetting in neural networks (ICLR2022) [paper]
Dataset Knowledge Transfer for Class-Incremental Learning without Memory (WACV2022) [paper]
Knowledge Capture and Replay for Continual Learning (WACV2022) [paper]
Online Continual Learning via Candidates Voting (WACV2022) [paper]

2021

Incremental Object Detection via Meta-Learning (TPAMI 2021) [paper] [code]
Memory efficient class-incremental learning for image classification (TNNLS 2021) [paper]
Class-Incremental Learning via Dual Augmentation (NeurIPS2021) [paper]
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning (NeurIPS2021) [paper]
RMM: Reinforced Memory Management for Class-Incremental Learning (NeurIPS2021) [paper]
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima (NeurIPS2021) [paper]
Lifelong Domain Adaptation via Consolidated Internal Distribution (NeurIPS2021) [paper]
AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS2021) [paper]
Natural continual learning: success is a journey, not (just) a destination (NeurIPS2021) [paper]
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning (NeurIPS2021) [paper]
Optimizing Reusable Knowledge for Continual Learning via Metalearning (NeurIPS2021) [paper]
Formalizing the Generalization-Forgetting Trade-off in Continual Learning (NeurIPS2021) [paper]
Learning where to learn: Gradient sparsity in meta and continual learning (NeurIPS2021) [paper]
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning (NeurIPS2021) [paper]
Posterior Meta-Replay for Continual Learning (NeurIPS2021) [paper]
Continual Auxiliary Task Learning (NeurIPS2021) [paper]
Mitigating Forgetting in Online Continual Learning with Neuron Calibration (NeurIPS2021) [paper]
BNS: Building Network Structures Dynamically for Continual Learning (NeurIPS2021) [paper]
DualNet: Continual Learning, Fast and Slow (NeurIPS2021) [paper]
BooVAE: Boosting Approach for Continual Learning of VAE (NeurIPS2021) [paper]
Generative vs. Discriminative: Rethinking The Meta-Continual Learning (NeurIPS2021) [paper]
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning (NeurIPS2021) [paper]
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection (NeurIPS, 2021) [paper] [code]
SS-IL: Separated Softmax for Incremental Learning (ICCV, 2021) [paper]
Striking a Balance between Stability and Plasticity for Class-Incremental Learning (ICCV, 2021) [paper]
Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces (ICCV, 2021) [paper]
Class-Incremental Learning for Action Recognition in Videos (ICCV, 2021) [paper]
Continual Prototype Evolution:Learning Online from Non-Stationary Data Streams (ICCV, 2021) [paper]
Rehearsal Revealed: The Limits and Merits of Revisiting Samples in Continual Learning (ICCV, 2021) [paper]
Co2L: Contrastive Continual Learning (ICCV, 2021) [paper]
Wanderlust: Online Continual Object Detection in the Real World (ICCV, 2021) [paper]
Continual Learning on Noisy Data Streams via Self-Purified Replay (ICCV, 2021) [paper]
Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data (ICCV, 2021) [paper]
Detection and Continual Learning of Novel Face Presentation Attacks (ICCV, 2021) [paper]
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data (ICCV, 2021) [paper]
Continual Learning for Image-Based Camera Localization (ICCV, 2021) [paper]
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting (ICCV, 2021) [paper]
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning (ICCV, 2021) [paper]
RECALL: Replay-based Continual Learning in Semantic Segmentation (ICCV, 2021) [paper]
Few-Shot and Continual Learning with Attentive Independent Mechanisms (ICCV, 2021) [paper]
Learning with Selective Forgetting (IJCAI, 2021) [paper]
Continuous Coordination As a Realistic Scenario for Lifelong Learning (ICML, 2021) [paper]
Kernel Continual Learning (ICML, 2021) [paper]
Variational Auto-Regressive Gaussian Processes for Continual Learning (ICML, 2021) [paper]
Bayesian Structural Adaptation for Continual Learning (ICML, 2021) [paper]
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity (ICML, 2021) [paper]
Continuous Coordination As a Realistic Scenario for Lifelong Learning (ICML, 2021) [paper]
Federated Continual Learning with Weighted Inter-client Transfer (ICML, 2021) [paper]
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks (NAACL, 2021) [paper]
Continual Learning for Text Classification with Information Disentanglement Based Regularization (NAACL, 2021) [paper]
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks (EMNLP, 2021) [paper][code]
Co-Transport for Class-Incremental Learning (ACM MM, 2021) [paper]
Towards Open World Object Detection (CVPR, 2021) [paper] [code] [video]
Prototype Augmentation and Self-Supervision for Incremental Learning (CVPR, 2021) [paper] [code]
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning (CVPR, 2021) [paper]
Incremental Learning via Rate Reduction (CVPR, 2021) [paper]
IIRC: Incremental Implicitly-Refined Classification (CVPR, 2021) [paper]
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning (CVPR, 2021) [paper]
Image De-raining via Continual Learning (CVPR, 2021) [paper]
Continual Learning via Bit-Level Information Preserving (CVPR, 2021) [paper]
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation (CVPR, 2021) [paper]
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation (CVPR, 2021) [paper]
Distilling Causal Effect of Data in Class-Incremental Learning (CVPR, 2021) [paper]
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning (CVPR, 2021) [paper]
Layerwise Optimization by Gradient Decomposition for Continual Learning (CVPR, 2021) [paper]
Adaptive Aggregation Networks for Class-Incremental Learning (CVPR, 2021) [paper]
Incremental Few-Shot Instance Segmentation (CVPR, 2021) [paper]
Efficient Feature Transformations for Discriminative and Generative Continual Learning (CVPR, 2021) [paper]
On Learning the Geodesic Path for Incremental Learning (CVPR, 2021) [paper]
Few-Shot Incremental Learning with Continually Evolved Classifiers (CVPR, 2021) [paper]
Rectification-based Knowledge Retention for Continual Learning (CVPR, 2021) [paper]
DER: Dynamically Expandable Representation for Class Incremental Learning (CVPR, 2021) [paper]
Rainbow Memory: Continual Learning with a Memory of Diverse Samples (CVPR, 2021) [paper]
Training Networks in Null Space of Feature Covariance for Continual Learning (CVPR, 2021) [paper]
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning (CVPR, 2021) [paper]
PLOP: Learning without Forgetting for Continual Semantic Segmentation (CVPR, 2021) [paper]
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations (CVPR, 2021) [paper]
Online Class-Incremental Continual Learning with Adversarial Shapley Value(AAAI, 2021) [paper] [code]
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation(AAAI, 2021) [paper]
Continual learning for named entity recognition(AAAI, 2021) [paper]
Using Hindsight to Anchor Past Knowledge in Continual Learning(AAAI, 2021) [paper]
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network(AAAI, 2021) [paper] [code]
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction(AAAI, 2021) [paper]
Continual Learning by Using Information of Each Class Holistically(AAAI, 2021) [paper]
Gradient Regularized Contrastive Learning for Continual Domain Adaptation(AAAI, 2021) [paper]
Unsupervised Model Adaptation for Continual Semantic Segmentation(AAAI, 2021) [paper]
A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation(AAAI, 2021) [paper]
Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting(WACV, 2021) [paper]

2020

Rethinking Experience Replay: a Bag of Tricks for Continual Learning(ICPR, 2020) [paper] [code]
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems(EMNLP, 2020) [paper]
Distill and Replay for Continual Language Learning(COLING, 2020) [paper]
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks (NeurIPS2020) [paper] [code]
Meta-Consolidation for Continual Learning (NeurIPS2020) [paper]
Understanding the Role of Training Regimes in Continual Learning (NeurIPS2020) [paper]
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization (NeurIPS2020) [paper]
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning (NeurIPS2020) [paper]
Coresets via Bilevel Optimization for Continual Learning and Streaming (NeurIPS2020) [paper]
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning (NeurIPS2020) [paper]
Continual Deep Learning by Functional Regularisation of Memorable Past (NeurIPS2020) [paper]
Dark Experience for General Continual Learning: a Strong, Simple Baseline (NeurIPS2020) [paper] [code]
GAN Memory with No Forgetting (NeurIPS2020) [paper]
Calibrating CNNs for Lifelong Learning (NeurIPS2020) [paper]
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization (NeurIPS2020) [paper]
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation(RecSys, 2020) [paper]
Initial Classifier Weights Replay for Memoryless Class Incremental Learning (BMVC2020) [paper]
Adversarial Continual Learning (ECCV2020) [paper] [code]
REMIND Your Neural Network to Prevent Catastrophic Forgetting (ECCV2020) [paper] [code]
Incremental Meta-Learning via Indirect Discriminant Alignment (ECCV2020) [paper]
Memory-Efficient Incremental Learning Through Feature Adaptation (ECCV2020) [paper]
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning (ECCV2020) [paper] [code]
Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference (ECCV2020) [paper]
Learning latent representions across multiple data domains using Lifelong VAEGAN (ECCV2020) [paper]
Online Continual Learning under Extreme Memory Constraints (ECCV2020) [paper]
Class-Incremental Domain Adaptation (ECCV2020) [paper]
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning (ECCV2020) [paper]
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation (ECCV2020) [paper]
GDumb: A Simple Approach that Questions Our Progress in Continual Learning (ECCV2020) [paper]
Imbalanced Continual Learning with Partitioning Reservoir Sampling (ECCV2020) [paper]
Topology-Preserving Class-Incremental Learning (ECCV2020) [paper]
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems (CIKM2020) [paper]
OvA-INN: Continual Learning with Invertible Neural Networks (IJCNN2020) [paper]
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning (ICLM2020) [paper]
Optimal Continual Learning has Perfect Memory and is NP-HARD (ICML2020) [paper]
Neural Topic Modeling with Continual Lifelong Learning (ICML2020) [paper]
Continual Learning with Knowledge Transfer for Sentiment Classification (ECML-PKDD2020) [paper] [code]
Semantic Drift Compensation for Class-Incremental Learning (CVPR2020) [paper] [code]
Few-Shot Class-Incremental Learning (CVPR2020) [paper]
Modeling the Background for Incremental Learning in Semantic Segmentation (CVPR2020) [paper]
Incremental Few-Shot Object Detection (CVPR2020) [paper]
Incremental Learning In Online Scenario (CVPR2020) [paper]
Maintaining Discrimination and Fairness in Class Incremental Learning (CVPR2020) [paper]
Conditional Channel Gated Networks for Task-Aware Continual Learning (CVPR2020) [paper]
Continual Learning with Extended Kronecker-factored Approximate Curvature (CVPR2020) [paper]
iTAML : An Incremental Task-Agnostic Meta-learning Approach (CVPR2020) [paper] [code]
Mnemonics Training: Multi-Class Incremental Learning without Forgetting (CVPR2020) [paper] [code]
ScaIL: Classifier Weights Scaling for Class Incremental Learning (WACV2020) [paper]
Accepted papers(ICLR2020) [paper]
Brain-inspired replay for continual learning with artificial neural networks (Natrue Communications 2020) [paper] [code]
Learning to Continually Learn (ECAI 2020) [paper] [code]

2019

Compacting, Picking and Growing for Unforgetting Continual Learning (NeurIPS2019)[paper][code]
Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning (ICMR2019) [paper][code]
Towards Training Recurrent Neural Networks for Lifelong Learning (Neural Computation 2019) [paper]
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay (IJCAI2019) [paper]
IL2M: Class Incremental Learning With Dual Memory (ICCV2019) [paper]
Incremental Learning Using Conditional Adversarial Networks (ICCV2019) [paper]
Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability (KDD2019) [paper]
Random Path Selection for Incremental Learning (NeurIPS2019) [paper]
Online Continual Learning with Maximal Interfered Retrieval (NeurIPS2019) [paper]
Meta-Learning Representations for Continual Learning (NeurIPS2019) [paper] [code]
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild (ICCV2019) [paper]
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation (ICCV2019) [paper]
Lifelong GAN: Continual Learning for Conditional Image Generation (ICCV2019) [paper]
Continual learning of context-dependent processing in neural networks (Nature Machine Intelligence 2019) [paper] [code]
Large Scale Incremental Learning (CVPR2019) [paper] [code]
Learning a Unified Classifier Incrementally via Rebalancing (CVPR2019) [paper] [code]
Learning Without Memorizing (CVPR2019) [paper]
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning (CVPR2019) [paper]
Task-Free Continual Learning (CVPR2019) [paper]
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting (ICML2019) [paper]
Efficient Lifelong Learning with A-GEM (ICLR2019) [paper] [code]
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference (ICLR2019) [paper] [code]
Overcoming Catastrophic Forgetting via Model Adaptation (ICLR2019) [paper]
A comprehensive, application-oriented study of catastrophic forgetting in DNNs (ICLR2019) [paper]

2018

Memory Replay GANs: learning to generate images from new categories without forgetting (NIPS2018) [paper] [code]
Reinforced Continual Learning (NIPS2018) [paper] [code]
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting (NIPS2018) [paper]
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting (R-EWC) (ICPR2018) [paper] [code]
Exemplar-Supported Generative Reproduction for Class Incremental Learning (BMVC2018) [paper] [code]
End-to-End Incremental Learning (ECCV2018) [paper][code]
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence (ECCV2018)[paper]
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights (ECCV2018) [paper] [code]
Memory Aware Synapses: Learning what (not) to forget (ECCV2018) [paper] [code]
Lifelong Learning via Progressive Distillation and Retrospection (ECCV2018) [paper]
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning (CVPR2018) [paper] [code]
Overcoming Catastrophic Forgetting with Hard Attention to the Task (ICML2018) [paper] [code]
Lifelong Learning with Dynamically Expandable Networks (ICLR2018) [paper]
FearNet: Brain-Inspired Model for Incremental Learning (ICLR2018) [paper]

2017

Incremental Learning of Object Detectors Without Catastrophic Forgetting (ICCV2017) [paper]
Overcoming catastrophic forgetting in neural networks (EWC) (PNAS2017) [paper] [code] [code]
Continual Learning Through Synaptic Intelligence (ICML2017) [paper] [code]
Gradient Episodic Memory for Continual Learning (NIPS2017) [paper] [code]
iCaRL: Incremental Classifier and Representation Learning (CVPR2017) [paper] [code]
Continual Learning with Deep Generative Replay (NIPS2017) [paper] [code]
Overcoming Catastrophic Forgetting by Incremental Moment Matching (NIPS2017) [paper] [code]
Expert Gate: Lifelong Learning with a Network of Experts (CVPR2017) [paper]
Encoder Based Lifelong Learning (ICCV2017) [paper]

2016

Learning without forgetting (ECCV2016) [paper] [code]

taaccoo-beta / awesome-incremental-learning Goto Github PK

awesome-incremental-learning's Introduction

Awesome Incremental Learning / Lifelong learning

Survey

Papers

2022

2021

2020

2019

2018

2017

2016

Find it interesting that there are more shared techniques than I thought for incremental learning (exemplars-based).

ContinualAI wiki

Workshops

Challenges or Competitions

Feel free to contact me if you find any interesting paper is missing.

Workshop papers are currently out due to space.

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