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

315 papers, page 3 of 7

101. ICLR 2024A Multi-Level Framework for Accelerating Training Transformer Models
102. ICLR 2024A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
103. ICLR 2024AdaMerging: Adaptive Model Merging for Multi-Task Learning
104. ICLR 2024Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
105. ICLR 2024Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
106. ICLR 2024Class Incremental Learning via Likelihood Ratio Based Task Prediction
107. ICLR 2024Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
108. ICLR 2024Consistent algorithms for multi-label classification with macro-at-$k$ metrics
109. ICLR 2024Controlling Vision-Language Models for Multi-Task Image Restoration
110. ICLR 2024Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
111. ICLR 2024Denoising Task Routing for Diffusion Models
112. ICLR 2024Diffusion Models for Multi-Task Generative Modeling
113. ICLR 2024DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
114. ICLR 2024Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
115. ICLR 2024From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
116. ICLR 2024GenSim: Generating Robotic Simulation Tasks via Large Language Models
117. ICLR 2024Hybrid Sharing for Multi-Label Image Classification
118. ICLR 2024InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
119. ICLR 2024Interpretable Meta-Learning of Physical Systems
120. ICLR 2024Memorization Capacity of Multi-Head Attention in Transformers
121. ICLR 2024MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
122. ICLR 2024MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
123. ICLR 2024MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
124. ICLR 2024Multi-task Learning with 3D-Aware Regularization
125. ICLR 2024MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
126. ICLR 2024Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
127. ICLR 2024On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning
128. ICLR 2024Order-Preserving GFlowNets
129. ICLR 2024Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
130. ICLR 2024Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
131. ICLR 2024Robot Fleet Learning via Policy Merging
132. ICLR 2024Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
133. ICLR 2024Select to Perfect: Imitating desired behavior from large multi-agent data
134. ICLR 2024Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
135. ICLR 2024Tailoring Self-Rationalizers with Multi-Reward Distillation
136. ICLR 2024Topic Modeling as Multi-Objective Contrastive Optimization
137. ICLR 2024Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
138. ICLR 2024Training-free Multi-objective Diffusion Model for 3D Molecule Generation
139. ICML 2024A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
140. ICML 2024A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
141. ICML 2024Active Ranking and Matchmaking, with Perfect Matchings
142. ICML 2024Adversarial Attacks on Combinatorial Multi-Armed Bandits
143. ICML 2024Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
144. ICML 2024Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
145. ICML 2024Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
146. ICML 2024Better & Faster Large Language Models via Multi-token Prediction
147. ICML 2024BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
148. ICML 2024Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
149. ICML 2024Conformal Prediction for Deep Classifier via Label Ranking
150. ICML 2024Contrasting Multiple Representations with the Multi-Marginal Matching Gap

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.