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 40 篇，第 1 / 1 页

1. ICML 2026Asymptotically Optimal Sequential Testing with Markovian Data
2. ICML 2026Beyond First-order Asymptotics in Sequential Mean Testing
3. ICML 2026CRAMER: Control via Request-Aware Masking for Editing Recommenders
4. ICML 2026Efficient Stochastic Optimisation via Sequential Monte Carlo
5. ICML 2026MIMOMamba: From Scalar Duality to Matrix-Valued Attention
6. ICML 2026Mitigating Reward Hacking in LLM-based Recommendation: A Preference Optimization Approach
7. ICML 2026ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
8. ICML 2026Sequential Group Composition: A Window into the Mechanics of Deep Learning
9. ICML 2026Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
10. ICML 2026The Cost of Learning Under Multiple Change Points
11. ICML 2026Twice Sequential Monte Carlo for Tree Search
12. ICML 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
13. ICML 2025Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian
14. ICML 2025MTSTRec: Multimodal Time-Aligned Shared Token Recommender
15. ICML 2025Training High Performance Spiking Neural Network by Temporal Model Calibration
16. ICML 2024Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
17. ICML 2024Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
18. ICML 2024On the Embedding Collapse when Scaling up Recommendation Models
19. ICML 2024On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
20. ICML 2024Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
21. ICML 2024Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
22. ICML 2024Reducing sequential change detection to sequential estimation
23. ICML 2024Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
24. ICML 2024Sequential Kernel Goodness-of-fit Testing
25. ICML 2024Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
26. ICML 2024Wukong: Towards a Scaling Law for Large-Scale Recommendation
27. ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
28. ICML 2023A Robust Test for the Stationarity Assumption in Sequential Decision Making
29. ICML 2023CRISP: Curriculum based Sequential neural decoders for Polar code family
30. ICML 2023Delayed Feedback in Kernel Bandits
31. ICML 2023Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
32. ICML 2023How Bad is Top-$K$ Recommendation under Competing Content Creators?
33. ICML 2023Memory-Based Dual Gaussian Processes for Sequential Learning
34. ICML 2023Performative Recommendation: Diversifying Content via Strategic Incentives
35. ICML 2023Sequential Changepoint Detection via Backward Confidence Sequences
36. ICML 2023Sequential Counterfactual Risk Minimization
37. ICML 2023Sequential Kernelized Independence Testing
38. ICML 2023Sequential Predictive Conformal Inference for Time Series
39. ICML 2023Sequential Strategic Screening
40. ICML 2023Sequential Underspecified Instrument Selection for Cause-Effect Estimation

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。