Continual Learning papers, 2023–2026
Catastrophic forgetting
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 381 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 27 | 13 | 16 | 21 | 77 |
| 2024 | 23 | 14 | 14 | 18 | 69 |
| 2025 | 32 | 23 | 29 | 20 | 104 |
| 2026 | 39 | 28 | 42 | 22 | 131 |
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
16 papers, page 1 of 1
- ICML 2023Adaptive Compositional Continual Meta-Learning
- ICML 2023BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
- ICML 2023Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
- ICML 2023Continual Learners are Incremental Model Generalizers
- ICML 2023Continual Learning in Linear Classification on Separable Data
- ICML 2023Continual Vision-Language Representation Learning with Off-Diagonal Information
- ICML 2023DDGR: Continual Learning with Deep Diffusion-based Generative Replay
- ICML 2023Discrete Key-Value Bottleneck
- ICML 2023Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
- ICML 2023Does Continual Learning Equally Forget All Parameters?
- ICML 2023DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
- ICML 2023Parameter-Level Soft-Masking for Continual Learning
- ICML 2023Poisoning Generative Replay in Continual Learning to Promote Forgetting
- ICML 2023Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
- ICML 2023The Ideal Continual Learner: An Agent That Never Forgets
- ICML 2023Theory on Forgetting and Generalization of Continual Learning
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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.