Continual Learning papers, 2023–2026

Key findings

• Continual Learning went from 77 papers in 2023 to 131 in 2026, roughly 1.7x in three years.
• NeurIPS publishes the most Continual Learning work: 121 papers from 2023 to 2026, 32% of the four-venue total.
• The fastest-growing overlap is with Low-Rank Adaptation: papers tagged with both rose from 1 in 2023 to 16 in 2026.
• Among the 5 topics under Meta-Learning and Transfer, it ranks #5 by 2026 paper count; the fastest grower in the group, Foundation Model Adaptation, is up 3.8x versus 1.7x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Bayes-pFCL:Bayesian Personalized Federated Continual Learning
• ICML 2026Beyond Buffer Limits: Energy-Based Data Reassembly for Continual Learning
• ICLR 2026FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning
• CVPR 2026A Faster Path to Continual Learning
• NeurIPS 2025AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
• ICML 2025BECAME: Bayesian Continual Learning with Adaptive Model Merging
• ICLR 2025Active Learning for Continual Learning: Keeping the Past Alive in the Present
• CVPR 2025AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
• NeurIPS 2024CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
• ICML 2024An Effective Dynamic Gradient Calibration Method for Continual Learning
• ICLR 2024A Probabilistic Framework for Modular Continual Learning
• CVPR 2024Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
• NeurIPS 2023Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
• ICML 2023Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
• ICLR 2023Artificial Neuronal Ensembles with Learned Context Dependent Gating
• CVPR 2023Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning
• NeurIPS 2026Beyond Exemplar Selection: Value-Aware Memory Allocation in Replay-Based Continual Learning
• ICML 2026BTSP-CAM: A Brain-Inspired Geometric Memory for Class-Incremental Learning
• ICLR 2026IDER: IDEMPOTENT EXPERIENCE REPLAY FOR RELIABLE CONTINUAL LEARNING
• CVPR 2026AdaPrior Bayesian-Inspired Adaptive Prior Correction for Long-Tailed Continual Learning

All Continual Learning papers

77 papers, page 1 of 2

1. CVPR 2023Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning
2. CVPR 2023Adaptive Plasticity Improvement for Continual Learning
3. CVPR 2023Bilateral Memory Consolidation for Continual Learning
4. CVPR 2023CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
5. CVPR 2023CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
6. CVPR 2023Computationally Budgeted Continual Learning: What Does Matter?
7. CVPR 2023ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
8. CVPR 2023Continual Detection Transformer for Incremental Object Detection
9. CVPR 2023Continual Semantic Segmentation With Automatic Memory Sample Selection
10. CVPR 2023Dealing With Cross-Task Class Discrimination in Online Continual Learning
11. CVPR 2023EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization
12. CVPR 2023Exploring Data Geometry for Continual Learning
13. CVPR 2023GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting
14. CVPR 2023Heterogeneous Continual Learning
15. CVPR 2023MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
16. CVPR 2023PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning
17. CVPR 2023PIVOT: Prompting for Video Continual Learning
18. CVPR 2023Preserving Linear Separability in Continual Learning by Backward Feature Projection
19. CVPR 2023Regularizing Second-Order Influences for Continual Learning
20. CVPR 2023Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling
21. CVPR 2023VQACL: A Novel Visual Question Answering Continual Learning Setting
22. ICLR 2023Artificial Neuronal Ensembles with Learned Context Dependent Gating
23. ICLR 2023Building a Subspace of Policies for Scalable Continual Learning
24. ICLR 2023Continual evaluation for lifelong learning: Identifying the stability gap
25. ICLR 2023Continual Pre-training of Language Models
26. ICLR 2023Deja Vu: Continual Model Generalization for Unseen Domains
27. ICLR 2023Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
28. ICLR 2023Is Forgetting Less a Good Inductive Bias for Forward Transfer?
29. ICLR 2023Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
30. ICLR 2023New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
31. ICLR 2023Online Boundary-Free Continual Learning by Scheduled Data Prior
32. ICLR 2023Optimizing Spca-based Continual Learning: A Theoretical Approach
33. ICLR 2023Progressive Prompts: Continual Learning for Language Models
34. ICLR 2023Sparse Distributed Memory is a Continual Learner
35. ICML 2023Adaptive Compositional Continual Meta-Learning
36. ICML 2023BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
37. ICML 2023Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
38. ICML 2023Continual Learners are Incremental Model Generalizers
39. ICML 2023Continual Learning in Linear Classification on Separable Data
40. ICML 2023Continual Vision-Language Representation Learning with Off-Diagonal Information
41. ICML 2023DDGR: Continual Learning with Deep Diffusion-based Generative Replay
42. ICML 2023Discrete Key-Value Bottleneck
43. ICML 2023Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
44. ICML 2023Does Continual Learning Equally Forget All Parameters?
45. ICML 2023DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
46. ICML 2023Parameter-Level Soft-Masking for Continual Learning
47. ICML 2023Poisoning Generative Replay in Continual Learning to Promote Forgetting
48. ICML 2023Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
49. ICML 2023The Ideal Continual Learner: An Agent That Never Forgets
50. ICML 2023Theory on Forgetting and Generalization of Continual Learning

FAQ

How many Continual Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

381 in total: 77 in 2023, 69 in 2024, 104 in 2025, 131 in 2026.

How many Continual Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 39 Continual Learning papers, versus 32 the year before.

How many Continual Learning papers are at ICLR 2026?

ICLR 2026 has 28 Continual Learning papers, versus 23 the year before.

How many Continual Learning papers are at ICML 2026?

ICML 2026 has 42 Continual Learning papers, versus 29 the year before.

How many Continual Learning papers are at CVPR 2026?

CVPR 2026 has 22 Continual Learning papers, versus 20 the year before.

Which conference publishes the most Continual Learning papers?

NeurIPS, with 121 papers from 2023 to 2026.