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 24 of 29

1151. NeurIPS 2024Multi-language Diversity Benefits Autoformalization
1152. NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
1153. NeurIPS 2024MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
1154. NeurIPS 2024NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing
1155. NeurIPS 2024Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
1156. NeurIPS 2024Neural Persistence Dynamics
1157. NeurIPS 2024NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
1158. NeurIPS 2024Optimal Multi-Fidelity Best-Arm Identification
1159. NeurIPS 2024Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
1160. NeurIPS 2024PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
1161. NeurIPS 2024Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
1162. NeurIPS 2024Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
1163. NeurIPS 2024Pre-trained Large Language Models Use Fourier Features to Compute Addition
1164. NeurIPS 2024Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
1165. NeurIPS 2024Predicting Label Distribution from Ternary Labels
1166. NeurIPS 2024Preference Learning Algorithms Do Not Learn Preference Rankings
1167. NeurIPS 2024Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
1168. NeurIPS 2024RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
1169. NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
1170. NeurIPS 2024Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
1171. NeurIPS 2024Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
1172. NeurIPS 2024SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding
1173. NeurIPS 2024Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
1174. NeurIPS 2024Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
1175. NeurIPS 2024SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
1176. NeurIPS 2024Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
1177. NeurIPS 2024TaskBench: Benchmarking Large Language Models for Task Automation
1178. NeurIPS 2024Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
1179. NeurIPS 2024Towards Multi-Domain Learning for Generalizable Video Anomaly Detection
1180. NeurIPS 2024Towards Neuron Attributions in Multi-Modal Large Language Models
1181. NeurIPS 2024Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
1182. NeurIPS 2024TSDS: Data Selection for Task-Specific Model Finetuning
1183. NeurIPS 2024Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
1184. NeurIPS 2024Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
1185. NeurIPS 2024UniGAD: Unifying Multi-level Graph Anomaly Detection
1186. NeurIPS 2024Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
1187. NeurIPS 2024Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion
1188. NeurIPS 2024What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
1189. CVPR 2023A Light Touch Approach to Teaching Transformers Multi-View Geometry
1190. CVPR 2023Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo
1191. CVPR 2023AeDet: Azimuth-Invariant Multi-View 3D Object Detection
1192. CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
1193. CVPR 2023Batch Model Consolidation: A Multi-Task Model Consolidation Framework
1194. CVPR 2023Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation
1195. CVPR 2023Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
1196. CVPR 2023CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
1197. CVPR 2023Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries
1198. CVPR 2023CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending
1199. CVPR 2023Dealing With Cross-Task Class Discrimination in Online Continual Learning
1200. CVPR 2023Decentralized Learning With Multi-Headed Distillation

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.