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 5 of 7

201. ICML 2024DMTG: One-Shot Differentiable Multi-Task Grouping
202. ICML 2024Efficient Pareto Manifold Learning with Low-Rank Structure
203. ICML 2024Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
204. ICML 2024Fair Resource Allocation in Multi-Task Learning
205. ICML 2024Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
206. ICML 2024Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
207. ICML 2024Floating Anchor Diffusion Model for Multi-motif Scaffolding
208. ICML 2024Generalization Analysis for Multi-Label Learning
209. ICML 2024Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
210. ICML 2024HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
211. ICML 2024HarmonyDream: Task Harmonization Inside World Models
212. ICML 2024How do Transformers Perform In-Context Autoregressive Learning ?
213. ICML 2024Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
214. ICML 2024Improving Transformers with Dynamically Composable Multi-Head Attention
215. ICML 2024Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
216. ICML 2024Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
217. ICML 2024Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
218. ICML 2024Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
219. ICML 2024MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
220. ICML 2024MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance
221. ICML 2024Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
222. ICML 2024Multi-group Learning for Hierarchical Groups
223. ICML 2024Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
224. ICML 2024Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning
225. ICML 2024Multi-Sender Persuasion: A Computational Perspective
226. ICML 2024Multi-Source Conformal Inference Under Distribution Shift
227. ICML 2024Multi-View Clustering by Inter-cluster Connectivity Guided Reward
228. ICML 2024Multi-View Stochastic Block Models
229. ICML 2024MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
230. ICML 2024Neural Collapse in Multi-label Learning with Pick-all-label Loss
231. ICML 2024Offline Multi-Objective Optimization
232. ICML 2024On Multi-Armed Bandit with Impatient Arms
233. ICML 2024On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
234. ICML 2024Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
235. ICML 2024Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
236. ICML 2024Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
237. ICML 2024Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
238. ICML 2024Ranking-based Client Imitation Selection for Efficient Federated Learning
239. ICML 2024Regression with Multi-Expert Deferral
240. ICML 2024Representation Surgery for Multi-Task Model Merging
241. ICML 2024Robust Multi-Task Learning with Excess Risks
242. ICML 2024Sampling-based Multi-dimensional Recalibration
243. ICML 2024Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
244. ICML 2024Smooth Tchebycheff Scalarization for Multi-Objective Optimization
245. ICML 2024Sparse-to-dense Multimodal Image Registration via Multi-Task Learning
246. ICML 2024Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
247. ICML 2024Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
248. ICML 2024The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
249. ICML 2024TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
250. ICML 2024Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering

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.