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

104 papers, page 1 of 3

1. CVPR 2025AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
2. CVPR 2025Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
3. CVPR 2025Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
4. CVPR 2025BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
5. CVPR 2025CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
6. CVPR 2025ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation
7. CVPR 2025Continual SFT Matches Multimodal RLHF with Negative Supervision
8. CVPR 2025Do Your Best and Get Enough Rest for Continual Learning
9. CVPR 2025FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
10. CVPR 2025Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
11. CVPR 2025KAC: Kolmogorov-Arnold Classifier for Continual Learning
12. CVPR 2025Language Guided Concept Bottleneck Models for Interpretable Continual Learning
13. CVPR 2025LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
14. CVPR 2025One-for-More: Continual Diffusion Model for Anomaly Detection
15. CVPR 2025Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution
16. CVPR 2025ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
17. CVPR 2025Rethinking Query-based Transformer for Continual Image Segmentation
18. CVPR 2025Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
19. CVPR 2025Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
20. CVPR 2025Towards Continual Universal Segmentation
21. ICLR 2025Active Learning for Continual Learning: Keeping the Past Alive in the Present
22. ICLR 2025Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
23. ICLR 2025Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
24. ICLR 2025Boosting Multiple Views for pretrained-based Continual Learning
25. ICLR 2025C-CLIP: Multimodal Continual Learning for Vision-Language Model
26. ICLR 2025CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
27. ICLR 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
28. ICLR 2025Coreset Selection via Reducible Loss in Continual Learning
29. ICLR 2025Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
30. ICLR 2025Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness
31. ICLR 2025Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
32. ICLR 2025Last Iterate Convergence of Incremental Methods as a Model of Forgetting
33. ICLR 2025Learning Continually by Spectral Regularization
34. ICLR 2025MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction
35. ICLR 2025N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning
36. ICLR 2025On Large Language Model Continual Unlearning
37. ICLR 2025Plastic Learning with Deep Fourier Features
38. ICLR 2025PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection
39. ICLR 2025Self-Normalized Resets for Plasticity in Continual Learning
40. ICLR 2025Spurious Forgetting in Continual Learning of Language Models
41. ICLR 2025STAR: Stability-Inducing Weight Perturbation for Continual Learning
42. ICLR 2025Theory on Mixture-of-Experts in Continual Learning
43. ICLR 2025Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
44. ICML 2025A Selective Learning Method for Temporal Graph Continual Learning
45. ICML 2025Adapting to Evolving Adversaries with Regularized Continual Robust Training
46. ICML 2025Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
47. ICML 2025BECAME: Bayesian Continual Learning with Adaptive Model Merging
48. ICML 2025Confounder-Free Continual Learning via Recursive Feature Normalization
49. ICML 2025Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective
50. ICML 2025Continual Reinforcement Learning by Planning with Online World Models

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.