Multi-Task Ranking papers, 2023–2026

Key findings

• Multi-Task Ranking went from 252 papers in 2023 to 480 in 2026, roughly 1.9x in three years.
• NeurIPS publishes the most Multi-Task Ranking work: 485 papers from 2023 to 2026, 34% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 8 in 2023 to 52 in 2026.
• Among the 5 topics under Recommenders and Ads, it ranks #1 by 2026 paper count; the fastest grower in the group, Click-Through Prediction, is up 2.6x versus 1.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Mahalanobis Margin \texorpdfstring{$\gamma_{\min}$}{gamma\_min} Bound on Task Confusion in Pretrained Class-Incremental Learning: From Infeasibility to Exponential Attenuation
• ICML 2026Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
• ICLR 2026Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?
• CVPR 2026A Supervised Multi-task Framework for Joint cryo-ET Restoration Enabled by
• NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
• ICML 2025ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
• ICLR 2025Balanced Ranking with Relative Centrality: A multi-core periphery perspective
• CVPR 2025ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling
• NeurIPS 2024CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
• ICML 2024Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
• ICLR 2024Order-Preserving GFlowNets
• CVPR 2024Domain Separation Graph Neural Networks for Saliency Object Ranking
• NeurIPS 2023AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
• ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
• ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
• CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
• NeurIPS 2026A Scalable Multi-Task Model for Virtual Sensors
• ICML 2026Alleviating Observation Bias via Causal-Invariant Meta-Learning for Unbalanced Incomplete Multi-view Clustering
• ICLR 2026Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
• CVPR 2026Block-Sparse Global Attention for Efficient Multi-View Geometry Transformers

All Multi-Task Ranking papers

55 papers, page 1 of 2

1. ICML 2023A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
2. ICML 2023Active Ranking of Experts Based on their Performances in Many Tasks
3. ICML 2023Auxiliary Learning as an Asymmetric Bargaining Game
4. ICML 2023Best Arm Identification in Multi-Agent Multi-Armed Bandits
5. ICML 2023Cluster-Specific Predictions with Multi-Task Gaussian Processes
6. ICML 2023CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
7. ICML 2023Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
8. ICML 2023Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
9. ICML 2023Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
10. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
11. ICML 2023Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
12. ICML 2023Estimating Causal Effects using a Multi-task Deep Ensemble
13. ICML 2023FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
14. ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
15. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
16. ICML 2023Improved Active Multi-Task Representation Learning via Lasso
17. ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
18. ICML 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
19. ICML 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning
20. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
21. ICML 2023MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
22. ICML 2023Men Also Do Laundry: Multi-Attribute Bias Amplification
23. ICML 2023Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
24. ICML 2023Multi-Agent Best Arm Identification with Private Communications
25. ICML 2023Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
26. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
27. ICML 2023Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
28. ICML 2023Multi-Objective GFlowNets
29. ICML 2023Multi-Objective Population Based Training
30. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
31. ICML 2023Multi-Task Differential Privacy Under Distribution Skew
32. ICML 2023Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
33. ICML 2023Multi-Task Off-Policy Learning from Bandit Feedback
34. ICML 2023Multi-task Representation Learning for Pure Exploration in Linear Bandits
35. ICML 2023Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
36. ICML 2023On the Generalization of Multi-modal Contrastive Learning
37. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
38. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
39. ICML 2023Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
40. ICML 2023Pareto Regret Analyses in Multi-objective Multi-armed Bandit
41. ICML 2023PCA-based Multi-Task Learning: a Random Matrix Approach
42. ICML 2023Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
43. ICML 2023Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
44. ICML 2023Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
45. ICML 2023Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
46. ICML 2023Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
47. ICML 2023Specializing Smaller Language Models towards Multi-Step Reasoning
48. ICML 2023Statistical Inference on Multi-armed Bandits with Delayed Feedback
49. ICML 2023Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
50. ICML 2023Task-Specific Skill Localization in Fine-tuned Language Models

FAQ

How many Multi-Task Ranking papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,440 in total: 252 in 2023, 315 in 2024, 393 in 2025, 480 in 2026.

How many Multi-Task Ranking papers are at NeurIPS 2026?

NeurIPS 2026 has 175 Multi-Task Ranking papers, versus 144 the year before.

How many Multi-Task Ranking papers are at ICLR 2026?

ICLR 2026 has 79 Multi-Task Ranking papers, versus 75 the year before.

How many Multi-Task Ranking papers are at ICML 2026?

ICML 2026 has 107 Multi-Task Ranking papers, versus 80 the year before.

How many Multi-Task Ranking papers are at CVPR 2026?

CVPR 2026 has 119 Multi-Task Ranking papers, versus 94 the year before.

Which conference publishes the most Multi-Task Ranking papers?

NeurIPS, with 485 papers from 2023 to 2026.