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 4 of 8

151. CVPR 2025Towards Continual Universal Segmentation
152. ICLR 2025Active Learning for Continual Learning: Keeping the Past Alive in the Present
153. ICLR 2025Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
154. ICLR 2025Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
155. ICLR 2025Boosting Multiple Views for pretrained-based Continual Learning
156. ICLR 2025C-CLIP: Multimodal Continual Learning for Vision-Language Model
157. ICLR 2025CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
158. ICLR 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
159. ICLR 2025Coreset Selection via Reducible Loss in Continual Learning
160. ICLR 2025Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
161. ICLR 2025Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness
162. ICLR 2025Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
163. ICLR 2025Last Iterate Convergence of Incremental Methods as a Model of Forgetting
164. ICLR 2025Learning Continually by Spectral Regularization
165. ICLR 2025MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction
166. ICLR 2025N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning
167. ICLR 2025On Large Language Model Continual Unlearning
168. ICLR 2025Plastic Learning with Deep Fourier Features
169. ICLR 2025PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection
170. ICLR 2025Self-Normalized Resets for Plasticity in Continual Learning
171. ICLR 2025Spurious Forgetting in Continual Learning of Language Models
172. ICLR 2025STAR: Stability-Inducing Weight Perturbation for Continual Learning
173. ICLR 2025Theory on Mixture-of-Experts in Continual Learning
174. ICLR 2025Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
175. ICML 2025A Selective Learning Method for Temporal Graph Continual Learning
176. ICML 2025Adapting to Evolving Adversaries with Regularized Continual Robust Training
177. ICML 2025Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
178. ICML 2025BECAME: Bayesian Continual Learning with Adaptive Model Merging
179. ICML 2025Confounder-Free Continual Learning via Recursive Feature Normalization
180. ICML 2025Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective
181. ICML 2025Continual Reinforcement Learning by Planning with Online World Models
182. ICML 2025Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
183. ICML 2025Discovering a Zero (Zero-Vector Class of Machine Learning)
184. ICML 2025FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
185. ICML 2025LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
186. ICML 2025Large Continual Instruction Assistant
187. ICML 2025Learning without Isolation: Pathway Protection for Continual Learning
188. ICML 2025Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
189. ICML 2025Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
190. ICML 2025Model Uncertainty Quantification by Conformal Prediction in Continual Learning
191. ICML 2025Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
192. ICML 2025Optimal Task Order for Continual Learning of Multiple Tasks
193. ICML 2025Overtrained Language Models Are Harder to Fine-Tune
194. ICML 2025Position: Lifetime tuning is incompatible with continual reinforcement learning
195. ICML 2025Predicting the Susceptibility of Examples to Catastrophic Forgetting
196. ICML 2025Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
197. ICML 2025SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
198. ICML 2025The Importance of Being Lazy: Scaling Limits of Continual Learning
199. ICML 2025Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks
200. ICML 2025Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters

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.