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

107 papers, page 2 of 3

51. ICML 2026Learn to Merge: Meta-Learning for Adaptive Multi-Task Model Merging
52. ICML 2026Learning Multi-Agent Coordination via Sheaf-ADMM
53. ICML 2026Learning Multi-Scale Hypergraph for High-Order Brain Connectivity Analysis
54. ICML 2026Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning
55. ICML 2026Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation
56. ICML 2026Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning
57. ICML 2026MADA-Attack: Transferable Multi-modal Attention Distraction Adversarial Attack against Vision Language Models
58. ICML 2026MAGIC: Multi-Granularity Language-Informed Image Clustering
59. ICML 2026MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
60. ICML 2026Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
61. ICML 2026MSP: Probabilistically Consistent Multi-Scale Action Generation
62. ICML 2026Multi-Adapter Representation Interventions via Energy Calibration
63. ICML 2026Multi-Objective Bayesian Optimization via Adaptive $\varepsilon$-Constraint Decomposition
64. ICML 2026Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning
65. ICML 2026Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
66. ICML 2026Multi-Round Human–AI Collaboration with User-Specified Requirements
67. ICML 2026Multi-Task Bayesian In-Context Learning
68. ICML 2026Multi-Task GRPO: Reliable LLM Reasoning Across Tasks
69. ICML 2026Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety
70. ICML 2026NBCG: Nash-Bargained Causal Game for Long-Tailed Multi-Label NLP
71. ICML 2026Near-Minimax Multi-Objective RL under Predictable Adversarial Preferences and Preference-Free Exploration in Linear MDPs
72. ICML 2026Near-Optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
73. ICML 2026Online Linear Programming for Multi-Objective Routing in LLM Serving
74. ICML 2026Operationalising the Superficial Alignment Hypothesis via Task Complexity
75. ICML 2026Orthogonal Model Merging
76. ICML 2026Personalized Additive Modeling for Multi-level Federated Learning
77. ICML 2026PhenoBrain: Phenotype-Conditioned Long-Range Communication for Multi-Modal Brain Network Analysis
78. ICML 2026PoMtVRS: Preference-Optimized Multi-Task Vehicle Routing Solver with Preference Gating
79. ICML 2026Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL
80. ICML 2026Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing
81. ICML 2026Preference-Modulated Structural Attention for Multi-Objective Combinatorial Optimization
82. ICML 2026Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning
83. ICML 2026Probability of Matching for Batch Multi-Objective Bayesian Optimization
84. ICML 2026Problem Distributions as Tasks: Repurposing Meta Learning for Generative Combinatorial Optimization towards Multi-task Pretraining and Adaptation
85. ICML 2026ProConMV: Provenance-Enabled Conceptual Framework for Interpretable Multi-View Diabetic Retinopathy Diagnosis
86. ICML 2026Rank-Learner: Orthogonal Ranking of Treatment Effects
87. ICML 2026Ranking Time Series using a Time Warping Ideal Point Model
88. ICML 2026Rethinking Evaluation Paradigms in IBP-based Certified Training
89. ICML 2026Reward-free Alignment for Conflicting Objectives
90. ICML 2026Robust Multi-View Fusion via Prototype-Anchored Unbalanced Optimal Transport
91. ICML 2026Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation
92. ICML 2026Saliency-Aware Model Merging
93. ICML 2026Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
94. ICML 2026Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
95. ICML 2026Structure-aware Granular-Ball based Information Bottleneck for Multi-modal Clustering
96. ICML 2026SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
97. ICML 2026T-GINEE: A Tensor-Based Multi-Graph Representation Learning
98. ICML 2026The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution
99. ICML 2026Time-Consistent Robust Multi-Objective Reinforcement Learning via a Bellman–Isaacs Weight-Adversary Recursion
100. ICML 2026Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization

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.