Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation (ECCV24)[paper][code]
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion (ECCV24)[paper][code]
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection (ECCV24)[paper][code]
Confidence Self-Calibration for Multi-Label Class-Incremental Learning (ECCV24)[paper]
Rethinking Few-shot Class-incremental Learning: Learning from Yourself (ECCV24)[paper][code]
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning (ECCV24)[paper][code]
Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer (ECCV24)[paper][code]
Mitigating Background Shift in Class-Incremental Semantic Segmentation (ECCV24)[paper][code]
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching (ECCV24)[paper]
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation (ECCV24)[paper][code]
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation (ECCV24)[paper]
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation (ECCV24)[paper]
DiffClass: Diffusion-Based Class Incremental Learning (ECCV24)[paper][code]
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning (ECCV24)[paper][code]
Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV24)[paper][code]
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning (ECCV24)[paper][code]
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation (ECCV24)[paper][code]
Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference (ECCV24)[paper][code]
Semantic Residual Prompts for Continual Learning (ECCV24)[paper][code]
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery (ECCV24)[paper][code]
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning (ECCV24)[paper][code]
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning (ECCV24)[paper]
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models (ECCV24)[paper][code]
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation (ECCV24)[paper][code]
Revisiting Supervision for Continual Representation Learning (ECCV24)[paper][code]
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models (ECCV24)[paper][code]
PromptFusion: Decoupling Stability and Plasticity for Continual Learning (ECCV24)[paper][code]
One-stage Prompt-based Continual Learning (ECCV24)[paper]
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection (ECCV24)[paper][code]
Exemplar-free Continual Representation Learning via Learnable Drift Compensation (ECCV24)[paper][code]
Open-World Dynamic Prompt and Continual Visual Representation Learning (ECCV24)[paper]
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning (ECCV24)[paper][code]
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery (ECCV24)[paper][code]
MagMax: Leveraging Model Merging for Seamless Continual Learning (ECCV24)[paper][code]
Anytime Continual Learning for Open Vocabulary Classification (ECCV24)[paper][code]
Weighted Ensemble Models Are Strong Continual Learners (ECCV24)[paper][code]
CLEO: Continual Learning of Evolving Ontologies (ECCV24)[paper][code]
UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit Representation (ECCV24)[paper][code]
Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning (ECCV24)[[paper]()]
STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning (ECCV24)[[paper]()]
Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration (ECCV24)[[paper]()]
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning (ECCV24)[[paper]()]
On the Approximation Risk of Few-Shot Class-Incremental Learning (ECCV24)[[paper]()]
Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models (ECCV24)[[paper]()]
Information Bottleneck Based Data Correction in Continual Learning (ECCV24)[[paper]()]
Continual Learning and Unknown Object Discovery in 3D Scenes via Self-Distillation (ECCV24)[[paper]()]
Pick-a-back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning (ECCV24)[[paper]()]
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework (ECCV24)[[paper]()]
CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection (ECCV24)[[paper]()][code]
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-based Continual Learning (ECCV24)[[paper]()][code]
Online Continuous Generalized Category Discovery (ECCV24)[paper][code]
Class-incremental Learning for Time Series: Benchmark and Evaluation (KDD24)[paper][code]
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning (ICML24)[paper]
Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning (ICML24)[paper][code]
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning (ICML24)[paper]
Learning to Continually Learn with the Bayesian Principle (ICML24)[paper][code]
Rethinking Momentum Knowledge Distillation in Online Continual Learning (ICML24)[paper][code]
Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning (ICML24)[paper]
Bayesian Adaptation of Network Depth and Width for Continual Learning (ICML24)[paper]
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment (ICML24)[paper][code]
On the Diminishing Returns of Width for Continual Learning (ICML24)[paper][code]
Compositional Few-Shot Class-Incremental Learning (ICML24)[paper][code]
Rapid Learning without Catastrophic Forgetting in the Morris Water Maze (ICML24)[paper][code]
Understanding Forgetting in Continual Learning with Linear Regression (ICML24)[paper]
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization (ICML24)[paper]
Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning (ICML24)[paper]
Provable Contrastive Continual Learning (ICML24)[paper]
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method (ICML24)[paper][code]
An Effective Dynamic Gradient Calibration Method for Continual Learning (ICML24)[paper]
Federated Continual Learning via Prompt-based Dual Knowledge Transfer (ICML24)[paper][code]
COPAL: Continual Pruning in Large Language Generative Models (ICML24)[paper]
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning (ICML24)[paper]
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition (TPAMI2024)[paper]
Continual Segmentation with Disentangled Objectness Learning and Class Recognition (CVPR2024)[paper][code]
Interactive Continual Learning: Fast and Slow Thinking (CVPR2024)[paper][code]
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning (CVPR2024)[paper][code]
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer (CVPR2024)[paper][code]
Traceable Federated Continual Learning (CVPR2024)[paper][code]
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay (CVPR2024)[paper]
Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification (CVPR2024)[paper][code]
Towards Backward-Compatible Continual Learning of Image Compression (CVPR2024)[paper][code]
Class Incremental Learning with Multi-Teacher Distillation (CVPR2024)[paper][code]
Towards Efficient Replay in Federated Incremental Learning (CVPR2024)[paper]
Dual-consistency Model Inversion for Non-exemplar Class Incremental Learning (CVPR2024)[paper]
Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning (CVPR2024)[paper]
Coherent Temporal Synthesis for Incremental Action Segmentation (CVPR2024)[paper]
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning (CVPR2024)[paper][code]
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning (CVPR2024)[paper][code]
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction (CVPR2024)[paper]
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning (CVPR2024)[paper][code]
Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation (CVPR2024)[paper][code]
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning (CVPR2024)[paper][code]
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning (CVPR2024)[paper][code]
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection (CVPR2024)[paper]
Generative Multi-modal Models are Good Class Incremental Learners (CVPR2024)[paper][code]
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning (CVPR2024)[paper][code]
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning (CVPR2024)[paper][code]
Enhancing Visual Continual Learning with Language-Guided Supervision (CVPR2024)[paper]
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters (CVPR2024)[paper][code]
Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning (CVPR2024)[paper]
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning (CVPR2024)[paper][code]
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning (CVPR2024)[paper][code]
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory (CVPR2024)[paper][code]
Learning from One Continuous Video Stream (CVPR2024)[paper]
Improving Plasticity in Online Continual Learning via Collaborative Learning (CVPR2024)[paper][code]
Learning Equi-angular Representations for Online Continual Learning (CVPR2024)[paper][code]
BrainWash: A Poisoning Attack to Forget in Continual Learning (CVPR2024)[paper]
Consistent Prompting for Rehearsal-Free Continual Learning (CVPR2024)[paper][code]
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning (CVPR2024)[paper][code]
Convolutional Prompting meets Language Models for Continual Learning (CVPR2024)[paper][code]
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning (CVPR2024)[paper][code]
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners (CVPR2024)[paper][code]
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation (CVPR2024)[paper][code]
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning (ICLR2024)[paper][code]
Function-space Parameterization of Neural Networks for Sequential Learning (ICLR2024)[paper]
Progressive Fourier Neural Representation for Sequential Video Compilation (ICLR2024)[paper]
Kalman Filter Online Classification from non-Stationary Data (ICLR2024)[paper]
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation (ICLR2024)[paper]
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models (ICLR2024)[paper]
Class Incremental Learning via Likelihood Ratio Based Task Prediction (ICLR2024)[paper][code]
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model (ICLR2024)[paper]
Prediction Error-based Classification for Class-Incremental Learning (ICLR2024)[paper][code]
Adapting Large Language Models via Reading Comprehension (ICLR2024)[paper][code]
Accurate Forgetting for Heterogeneous Federated Continual Learning (ICLR2024)[paper]
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation (ICLR2024)[paper]
A Probabilistic Framework for Modular Continual Learning (ICLR2024)[paper]
A Unified and General Framework for Continual Learning (ICLR2024)[paper]
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation (ICLR2024)[paper]
CPPO: Continual Learning for Reinforcement Learning with Human Feedback (ICLR2024)[paper]
Online Continual Learning for Interactive Instruction Following Agents (ICLR2024)[paper][code]
Scalable Language Model with Generalized Continual Learning (ICLR2024)[paper]
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation (ICLR2024)[paper]
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks (ICLR2024)[paper][code]
TiC-CLIP: Continual Training of CLIP Models (ICLR2024)[paper]
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline (ICLR2024)[paper]
Addressing Catastrophic Forgetting and Loss of Plasticity in Neural Networks (ICLR2024)[paper]
Locality Sensitive Sparse Encoding for Learning World Models Online (ICLR2024)[paper]
Dissecting learning and forgetting in language model finetuning (ICLR2024)[paper]
Prompt Gradient Projection for Continual Learning (ICLR2024)[paper][code]
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time (ICLR2024)[paper]
Divide and not forget: Ensemble of selectively trained experts in Continual Learning (ICLR2024)[paper][code]
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation (AAAI2024) [paper][code]
Evolving Parameterized Prompt Memory for Continual Learning (AAAI2024)[paper][code]
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding (AAAI2024)[paper]
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning (AAAI2024)[paper]
Class-Incremental Learning: Cross-Class Feature Augmentation for Class Incremental Learning (AAAI2024)[paper]
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection (AAAI2024)[paper]
MIND: Multi-Task Incremental Network Distillation (AAAI2024)[paper][code]
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning (WACV2024)[paper][code]
Plasticity-Optimized Complementary Networks for Unsupervised Continual (WACV2024)[paper]
Online Class-Incremental Learning For Real-World Food Image Classification (WACV2024)[paper]
Online Continual Learning through Mutual Information Maximization (ICML2022)[paper]
Prototype-guided continual adaptation for class-incremental unsupervised domain adaptation (ECCV2022)[paper] [code]
Balanced softmax cross-entropy for incremental learning with and without memory (CVIU)[paper]
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection (COLING2022) [paper] [code]
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution (ICML2022)[paper]
Forget-free Continual Learning with Winning Subnetworks (ICML2022)[paper]
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks (ICML2022)[paper]
Continual Learning via Sequential Function-Space Variational Inference (ICML2022)[paper]
A Theoretical Study on Solving Continual Learning (NeurIPS2022) [paper] [code]
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection (NeurIPS2022) [paper]
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer (NeurIPS2022) [paper]
Memory Efficient Continual Learning with Transformers (NeurIPS2022) [paper]
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation (NeurIPS2022) [paper] [code]
Disentangling Transfer in Continual Reinforcement Learning (NeurIPS2022) [paper]
Task-Free Continual Learning via Online Discrepancy Distance Learning (NeurIPS2022) [paper]
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal (NeurIPS2022) [paper]
S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning (NeurIPS2022) [paper]
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting (NeurIPS2022) [paper]
Few-Shot Continual Active Learning by a Robot (NeurIPS2022) [paper]
Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions(NeurIPS2022) [paper]
SparCL: Sparse Continual Learning on the Edge(NeurIPS2022) [paper]
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks (NeurIPS2022) [paper] [code]
Continual Learning In Environments With Polynomial Mixing Times (NeurIPS2022) [paper] [code]
Exploring Example Influence in Continual Learning (NeurIPS2022) [paper] [code]
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation (NeurIPS2022) [paper]
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning (NeurIPS2022) [paper] [code]
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting (NeurIPS2022)[paper]
CGLB: Benchmark Tasks for Continual Graph Learning (NeurIPS2022)[paper] [code]
How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? (NeurIPS2022)[paper]
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV2022)[paper] [code]
Generative Negative Text Replay for Continual Vision-Language Pretraining (ECCV2022) [paper]
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning (ECCV2022) [paper] [code]
The Challenges of Continuous Self-Supervised Learning (ECCV2022)[paper]
Helpful or Harmful: Inter-Task Association in Continual Learning (ECCV2022)[paper]
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection (ECCV2022)[paper]
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning (ECCV2022)[paper]
Online Task-free Continual Learning with Dynamic Sparse Distributed Memory (ECCV2022)[paper][code]
Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning (ECCV2022)[paper]
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer (ECCV2022) [paper] [code]
FOSTER: Feature Boosting and Compression for Class-Incremental Learning (ECCV2022) [paper] [code]
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions (ECCV2022) [paper]
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning (ECCV2022) [paper] [code]
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning (ECCV2022) [paper]
Learning with Recoverable Forgetting (ECCV2022) [paper]
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation (ECCV2022) [paper] [code]
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning (ECCV2022) [paper]
Long-Tailed Class Incremental Learning (ECCV2022) [paper]
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]
Continual Training of Language Models for Few-Shot Learning (EMNLP2022) [paper] [code]
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation (TPAMI2022) [paper]
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning (TPAMI2022) [paper]
Class-Incremental Continual Learning into the eXtended DER-verse (TPAMI2022) [paper] [code]
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks (TPAMI2022) [paper] [code]
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency (PRL2022) [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]
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 Detection via 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]
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay (CoLLAs2022) [paper] [code]
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation (TMM2022) [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]
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]
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents (IJCNN2022) [paper]
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition (Journal of Imaging 2022) [paper]