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

1,440 papers, page 22 of 29

1051. ICML 2024Multi-View Clustering by Inter-cluster Connectivity Guided Reward
1052. ICML 2024Multi-View Stochastic Block Models
1053. ICML 2024MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
1054. ICML 2024Neural Collapse in Multi-label Learning with Pick-all-label Loss
1055. ICML 2024Offline Multi-Objective Optimization
1056. ICML 2024On Multi-Armed Bandit with Impatient Arms
1057. ICML 2024On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
1058. ICML 2024Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
1059. ICML 2024Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
1060. ICML 2024Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
1061. ICML 2024Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
1062. ICML 2024Ranking-based Client Imitation Selection for Efficient Federated Learning
1063. ICML 2024Regression with Multi-Expert Deferral
1064. ICML 2024Representation Surgery for Multi-Task Model Merging
1065. ICML 2024Robust Multi-Task Learning with Excess Risks
1066. ICML 2024Sampling-based Multi-dimensional Recalibration
1067. ICML 2024Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
1068. ICML 2024Smooth Tchebycheff Scalarization for Multi-Objective Optimization
1069. ICML 2024Sparse-to-dense Multimodal Image Registration via Multi-Task Learning
1070. ICML 2024Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
1071. ICML 2024Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
1072. ICML 2024The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
1073. ICML 2024TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
1074. ICML 2024Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering
1075. ICML 2024Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
1076. ICML 2024Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
1077. ICML 2024Unbiased Multi-Label Learning from Crowdsourced Annotations
1078. ICML 2024WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
1079. NeurIPS 2024$C^2M^3$: Cycle-Consistent Multi-Model Merging
1080. NeurIPS 2024$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
1081. NeurIPS 2024A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
1082. NeurIPS 2024A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
1083. NeurIPS 2024A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking
1084. NeurIPS 2024A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
1085. NeurIPS 2024A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
1086. NeurIPS 2024Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
1087. NeurIPS 2024Adversarially Robust Multi-task Representation Learning
1088. NeurIPS 2024All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
1089. NeurIPS 2024Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
1090. NeurIPS 2024Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
1091. NeurIPS 2024AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
1092. NeurIPS 2024An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning
1093. NeurIPS 2024An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
1094. NeurIPS 2024Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
1095. NeurIPS 2024Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering
1096. NeurIPS 2024Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
1097. NeurIPS 2024BAKU: An Efficient Transformer for Multi-Task Policy Learning
1098. NeurIPS 2024Bandits with Abstention under Expert Advice
1099. NeurIPS 2024Bandits with Ranking Feedback
1100. NeurIPS 2024BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion 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.