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

309 papers, page 4 of 7

151. ICML 2025LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
152. ICML 2025Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
153. ICML 2025MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
154. ICML 2025Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
155. ICML 2025Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
156. ICML 2025MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
157. ICML 2025MoH: Multi-Head Attention as Mixture-of-Head Attention
158. ICML 2025MTL-UE: Learning to Learn Nothing for Multi-Task Learning
159. ICML 2025Multi-Objective Causal Bayesian Optimization
160. ICML 2025Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
161. ICML 2025Multi-Session Budget Optimization for Forward Auction-based Federated Learning
162. ICML 2025Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
163. ICML 2025Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
164. ICML 2025No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
165. ICML 2025Optimal Task Order for Continual Learning of Multiple Tasks
166. ICML 2025Optimizing Temperature for Language Models with Multi-Sample Inference
167. ICML 2025Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
168. ICML 2025Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes
169. ICML 2025Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
170. ICML 2025Pareto-frontier Entropy Search with Variational Lower Bound Maximization
171. ICML 2025PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
172. ICML 2025PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
173. ICML 2025Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
174. ICML 2025PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
175. ICML 2025Provable In-Context Vector Arithmetic via Retrieving Task Concepts
176. ICML 2025Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity
177. ICML 2025Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering
178. ICML 2025S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking
179. ICML 2025SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
180. ICML 2025Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
181. ICML 2025Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?
182. ICML 2025Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion
183. ICML 2025Tuning LLM Judge Design Decisions for 1/1000 of the Cost
184. ICML 2025Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods
185. ICML 2025Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
186. ICML 2025When can in-context learning generalize out of task distribution?
187. ICML 2025Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
188. ICML 2024A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
189. ICML 2024A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
190. ICML 2024Active Ranking and Matchmaking, with Perfect Matchings
191. ICML 2024Adversarial Attacks on Combinatorial Multi-Armed Bandits
192. ICML 2024Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
193. ICML 2024Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
194. ICML 2024Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
195. ICML 2024Better & Faster Large Language Models via Multi-token Prediction
196. ICML 2024BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
197. ICML 2024Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
198. ICML 2024Conformal Prediction for Deep Classifier via Label Ranking
199. ICML 2024Contrasting Multiple Representations with the Multi-Marginal Matching Gap
200. ICML 2024Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning

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.