序列推荐论文趋势 2023–2026

主要结论

• 序列推荐论文从 2023 年的 39 篇增长到 2026 年的 43 篇，三年间扩大到约 1.1 倍。
• NeurIPS 是发序列推荐论文最多的会议，2023–2026 年共 67 篇，占四个会议总量的 47%。
• 交叉方向里涨得最快的是MCTS：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 5 篇。
• 在「推荐与广告」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的点击率预测是 2.6 倍，序列推荐是 1.1 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
• ICML 2026Sequential Group Composition: A Window into the Mechanics of Deep Learning
• ICLR 2026Energy-Regularized Sequential Model Editing on Hyperspheres
• CVPR 2026Online3R Online Learning for Consistent Sequential Reconstruction Based on Geometry
• NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
• ICML 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
• ICLR 2025A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
• NeurIPS 2024CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
• ICML 2024Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
• ICLR 2024Parallelizing non-linear sequential models over the sequence length
• CVPR 2024MuseChat: A Conversational Music Recommendation System for Videos
• NeurIPS 2023Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments
• ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
• ICLR 2023Neural-based classification rule learning for sequential data
• CVPR 2023Guided Recommendation for Model Fine-Tuning
• NeurIPS 2026DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
• ICML 2026Asymptotically Optimal Sequential Testing with Markovian Data
• ICLR 2026Sequential Parallel Duality in Prefix Scannable Models
• CVPR 2026MGDHand Multi-Granularity Prior-to-Inertial Distillation Framework for Sequential 3D Hand Pose
• NeurIPS 2025FFN Fusion: Rethinking Sequential Computation in Large Language Models

全部序列推荐论文

共 39 篇，第 1 / 1 页

1. CVPR 2023Guided Recommendation for Model Fine-Tuning
2. CVPR 2023Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances
3. ICLR 2023Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
4. ICLR 2023Critic Sequential Monte Carlo
5. ICLR 2023Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
6. ICLR 2023Neural-based classification rule learning for sequential data
7. ICLR 2023ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
8. ICLR 2023Sequential Attention for Feature Selection
9. ICLR 2023Sequential Gradient Coding For Straggler Mitigation
10. ICLR 2023Sequential Learning of Neural Networks for Prequential MDL
11. ICLR 2023StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
12. ICLR 2023Transformer-Patcher: One Mistake Worth One Neuron
13. ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
14. ICML 2023A Robust Test for the Stationarity Assumption in Sequential Decision Making
15. ICML 2023CRISP: Curriculum based Sequential neural decoders for Polar code family
16. ICML 2023Delayed Feedback in Kernel Bandits
17. ICML 2023Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
18. ICML 2023How Bad is Top-$K$ Recommendation under Competing Content Creators?
19. ICML 2023Memory-Based Dual Gaussian Processes for Sequential Learning
20. ICML 2023Performative Recommendation: Diversifying Content via Strategic Incentives
21. ICML 2023Sequential Changepoint Detection via Backward Confidence Sequences
22. ICML 2023Sequential Counterfactual Risk Minimization
23. ICML 2023Sequential Kernelized Independence Testing
24. ICML 2023Sequential Predictive Conformal Inference for Time Series
25. ICML 2023Sequential Strategic Screening
26. ICML 2023Sequential Underspecified Instrument Selection for Cause-Effect Estimation
27. NeurIPS 2023A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
28. NeurIPS 2023Adversarial Resilience in Sequential Prediction via Abstention
29. NeurIPS 2023Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments
30. NeurIPS 2023Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
31. NeurIPS 2023Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
32. NeurIPS 2023Estimating Propensity for Causality-based Recommendation without Exposure Data
33. NeurIPS 2023Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
34. NeurIPS 2023Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
35. NeurIPS 2023REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
36. NeurIPS 2023Sequential Memory with Temporal Predictive Coding
37. NeurIPS 2023Sequential Predictive Two-Sample and Independence Testing
38. NeurIPS 2023Sequential Subset Matching for Dataset Distillation
39. NeurIPS 2023Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation

常见问题

2023–2026 年四大会议一共有多少篇序列推荐论文？

共 142 篇，按年份分别是 2023 年 39 篇、2024 年 31 篇、2025 年 29 篇、2026 年 43 篇。

NeurIPS 2026 有多少篇序列推荐论文？

NeurIPS 2026 有 20 篇序列推荐论文，上一届是 19 篇。

ICLR 2026 有多少篇序列推荐论文？

ICLR 2026 有 10 篇序列推荐论文，上一届是 6 篇。

ICML 2026 有多少篇序列推荐论文？

ICML 2026 有 11 篇序列推荐论文，上一届是 4 篇。

CVPR 2026 有多少篇序列推荐论文？

CVPR 2026 有 2 篇序列推荐论文。

哪个会议的序列推荐论文最多？

NeurIPS，2023–2026 年共 67 篇。