Sequential Recommendation papers, 2023–2026
Session-based recommendation
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 142 papers are tagged with this topic.
Key findings
- Sequential Recommendation went from 39 papers in 2023 to 43 in 2026, roughly 1.1x in three years.
- NeurIPS publishes the most Sequential Recommendation work: 67 papers from 2023 to 2026, 47% of the four-venue total.
- The fastest-growing overlap is with Monte Carlo Tree Search: papers tagged with both rose from 1 in 2023 to 5 in 2026.
- Among the 5 topics under Recommenders and Ads, it ranks #5 by 2026 paper count; the fastest grower in the group, Click-Through Prediction, is up 2.6x versus 1.1x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 13 | 10 | 14 | 2 | 39 |
| 2024 | 15 | 4 | 11 | 1 | 31 |
| 2025 | 19 | 6 | 4 | 0 | 29 |
| 2026 | 20 | 10 | 11 | 2 | 43 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Sequential Recommendation papers
40 papers, page 1 of 1
- ICML 2026Asymptotically Optimal Sequential Testing with Markovian Data
- ICML 2026Beyond First-order Asymptotics in Sequential Mean Testing
- ICML 2026CRAMER: Control via Request-Aware Masking for Editing Recommenders
- ICML 2026Efficient Stochastic Optimisation via Sequential Monte Carlo
- ICML 2026MIMOMamba: From Scalar Duality to Matrix-Valued Attention
- ICML 2026Mitigating Reward Hacking in LLM-based Recommendation: A Preference Optimization Approach
- ICML 2026ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
- ICML 2026Sequential Group Composition: A Window into the Mechanics of Deep Learning
- ICML 2026Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
- ICML 2026The Cost of Learning Under Multiple Change Points
- ICML 2026Twice Sequential Monte Carlo for Tree Search
- ICML 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
- ICML 2025Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian
- ICML 2025MTSTRec: Multimodal Time-Aligned Shared Token Recommender
- ICML 2025Training High Performance Spiking Neural Network by Temporal Model Calibration
- ICML 2024Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
- ICML 2024Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
- ICML 2024On the Embedding Collapse when Scaling up Recommendation Models
- ICML 2024On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
- ICML 2024Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
- ICML 2024Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
- ICML 2024Reducing sequential change detection to sequential estimation
- ICML 2024Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
- ICML 2024Sequential Kernel Goodness-of-fit Testing
- ICML 2024Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
- ICML 2024Wukong: Towards a Scaling Law for Large-Scale Recommendation
- ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
- ICML 2023A Robust Test for the Stationarity Assumption in Sequential Decision Making
- ICML 2023CRISP: Curriculum based Sequential neural decoders for Polar code family
- ICML 2023Delayed Feedback in Kernel Bandits
- ICML 2023Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
- ICML 2023How Bad is Top-$K$ Recommendation under Competing Content Creators?
- ICML 2023Memory-Based Dual Gaussian Processes for Sequential Learning
- ICML 2023Performative Recommendation: Diversifying Content via Strategic Incentives
- ICML 2023Sequential Changepoint Detection via Backward Confidence Sequences
- ICML 2023Sequential Counterfactual Risk Minimization
- ICML 2023Sequential Kernelized Independence Testing
- ICML 2023Sequential Predictive Conformal Inference for Time Series
- ICML 2023Sequential Strategic Screening
- ICML 2023Sequential Underspecified Instrument Selection for Cause-Effect Estimation
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FAQ
- How many Sequential Recommendation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 142 in total: 39 in 2023, 31 in 2024, 29 in 2025, 43 in 2026.
- How many Sequential Recommendation papers are at NeurIPS 2026?
- NeurIPS 2026 has 20 Sequential Recommendation papers, versus 19 the year before.
- How many Sequential Recommendation papers are at ICLR 2026?
- ICLR 2026 has 10 Sequential Recommendation papers, versus 6 the year before.
- How many Sequential Recommendation papers are at ICML 2026?
- ICML 2026 has 11 Sequential Recommendation papers, versus 4 the year before.
- How many Sequential Recommendation papers are at CVPR 2026?
- CVPR 2026 has 2 Sequential Recommendation papers.
- Which conference publishes the most Sequential Recommendation papers?
- NeurIPS, with 67 papers from 2023 to 2026.