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
14 papers, page 1 of 1
- ICLR 2024A Probabilistic Framework for Modular Continual Learning
- ICLR 2024Accurate Forgetting for Heterogeneous Federated Continual Learning
- ICLR 2024Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
- ICLR 2024Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
- ICLR 2024Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
- ICLR 2024Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
- ICLR 2024Efficient Continual Finite-Sum Minimization
- ICLR 2024Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
- ICLR 2024Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
- ICLR 2024Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
- ICLR 2024Prompt Gradient Projection for Continual Learning
- ICLR 2024Scalable Language Model with Generalized Continual Learning
- ICLR 2024The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
- ICLR 2024TiC-CLIP: Continual Training of CLIP Models
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Continual Learning papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "continual-learning"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.