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

381 papers, page 7 of 8

301. NeurIPS 2024Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
302. NeurIPS 2024Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
303. NeurIPS 2024Vector Quantization Prompting for Continual Learning
304. NeurIPS 2024Visual Prompt Tuning in Null Space for Continual Learning
305. CVPR 2023Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning
306. CVPR 2023Adaptive Plasticity Improvement for Continual Learning
307. CVPR 2023Bilateral Memory Consolidation for Continual Learning
308. CVPR 2023CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
309. CVPR 2023CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
310. CVPR 2023Computationally Budgeted Continual Learning: What Does Matter?
311. CVPR 2023ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
312. CVPR 2023Continual Detection Transformer for Incremental Object Detection
313. CVPR 2023Continual Semantic Segmentation With Automatic Memory Sample Selection
314. CVPR 2023Dealing With Cross-Task Class Discrimination in Online Continual Learning
315. CVPR 2023EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization
316. CVPR 2023Exploring Data Geometry for Continual Learning
317. CVPR 2023GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting
318. CVPR 2023Heterogeneous Continual Learning
319. CVPR 2023MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
320. CVPR 2023PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning
321. CVPR 2023PIVOT: Prompting for Video Continual Learning
322. CVPR 2023Preserving Linear Separability in Continual Learning by Backward Feature Projection
323. CVPR 2023Regularizing Second-Order Influences for Continual Learning
324. CVPR 2023Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling
325. CVPR 2023VQACL: A Novel Visual Question Answering Continual Learning Setting
326. ICLR 2023Artificial Neuronal Ensembles with Learned Context Dependent Gating
327. ICLR 2023Building a Subspace of Policies for Scalable Continual Learning
328. ICLR 2023Continual evaluation for lifelong learning: Identifying the stability gap
329. ICLR 2023Continual Pre-training of Language Models
330. ICLR 2023Deja Vu: Continual Model Generalization for Unseen Domains
331. ICLR 2023Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
332. ICLR 2023Is Forgetting Less a Good Inductive Bias for Forward Transfer?
333. ICLR 2023Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
334. ICLR 2023New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
335. ICLR 2023Online Boundary-Free Continual Learning by Scheduled Data Prior
336. ICLR 2023Optimizing Spca-based Continual Learning: A Theoretical Approach
337. ICLR 2023Progressive Prompts: Continual Learning for Language Models
338. ICLR 2023Sparse Distributed Memory is a Continual Learner
339. ICML 2023Adaptive Compositional Continual Meta-Learning
340. ICML 2023BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
341. ICML 2023Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
342. ICML 2023Continual Learners are Incremental Model Generalizers
343. ICML 2023Continual Learning in Linear Classification on Separable Data
344. ICML 2023Continual Vision-Language Representation Learning with Off-Diagonal Information
345. ICML 2023DDGR: Continual Learning with Deep Diffusion-based Generative Replay
346. ICML 2023Discrete Key-Value Bottleneck
347. ICML 2023Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
348. ICML 2023Does Continual Learning Equally Forget All Parameters?
349. ICML 2023DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
350. ICML 2023Parameter-Level Soft-Masking for 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.