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

81 papers, page 2 of 2

51. CVPR 2024ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
52. CVPR 2024Enhancing Visual Continual Learning with Language-Guided Supervision
53. CVPR 2024Improving Plasticity in Online Continual Learning via Collaborative Learning
54. CVPR 2024Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
55. CVPR 2024Learning Equi-angular Representations for Online Continual Learning
56. CVPR 2024RCL: Reliable Continual Learning for Unified Failure Detection
57. CVPR 2024Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
58. CVPR 2024Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
59. CVPR 2024Towards Backward-Compatible Continual Learning of Image Compression
60. CVPR 2024Traceable Federated Continual Learning
61. CVPR 2023Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning
62. CVPR 2023Adaptive Plasticity Improvement for Continual Learning
63. CVPR 2023Bilateral Memory Consolidation for Continual Learning
64. CVPR 2023CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
65. CVPR 2023CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
66. CVPR 2023Computationally Budgeted Continual Learning: What Does Matter?
67. CVPR 2023ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
68. CVPR 2023Continual Detection Transformer for Incremental Object Detection
69. CVPR 2023Continual Semantic Segmentation With Automatic Memory Sample Selection
70. CVPR 2023Dealing With Cross-Task Class Discrimination in Online Continual Learning
71. CVPR 2023EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization
72. CVPR 2023Exploring Data Geometry for Continual Learning
73. CVPR 2023GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting
74. CVPR 2023Heterogeneous Continual Learning
75. CVPR 2023MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
76. CVPR 2023PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning
77. CVPR 2023PIVOT: Prompting for Video Continual Learning
78. CVPR 2023Preserving Linear Separability in Continual Learning by Backward Feature Projection
79. CVPR 2023Regularizing Second-Order Influences for Continual Learning
80. CVPR 2023Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling
81. CVPR 2023VQACL: A Novel Visual Question Answering Continual Learning Setting

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.