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

252 papers, page 4 of 6

151. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
152. ICML 2023Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
153. ICML 2023Estimating Causal Effects using a Multi-task Deep Ensemble
154. ICML 2023FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
155. ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
156. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
157. ICML 2023Improved Active Multi-Task Representation Learning via Lasso
158. ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
159. ICML 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
160. ICML 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning
161. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
162. ICML 2023MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
163. ICML 2023Men Also Do Laundry: Multi-Attribute Bias Amplification
164. ICML 2023Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
165. ICML 2023Multi-Agent Best Arm Identification with Private Communications
166. ICML 2023Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
167. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
168. ICML 2023Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
169. ICML 2023Multi-Objective GFlowNets
170. ICML 2023Multi-Objective Population Based Training
171. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
172. ICML 2023Multi-Task Differential Privacy Under Distribution Skew
173. ICML 2023Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
174. ICML 2023Multi-Task Off-Policy Learning from Bandit Feedback
175. ICML 2023Multi-task Representation Learning for Pure Exploration in Linear Bandits
176. ICML 2023Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
177. ICML 2023On the Generalization of Multi-modal Contrastive Learning
178. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
179. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
180. ICML 2023Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
181. ICML 2023Pareto Regret Analyses in Multi-objective Multi-armed Bandit
182. ICML 2023PCA-based Multi-Task Learning: a Random Matrix Approach
183. ICML 2023Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
184. ICML 2023Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
185. ICML 2023Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
186. ICML 2023Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
187. ICML 2023Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
188. ICML 2023Specializing Smaller Language Models towards Multi-Step Reasoning
189. ICML 2023Statistical Inference on Multi-armed Bandits with Delayed Feedback
190. ICML 2023Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
191. ICML 2023Task-Specific Skill Localization in Fine-tuned Language Models
192. ICML 2023Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis
193. ICML 2023Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits
194. ICML 2023Understanding the Complexity Gains of Single-Task RL with a Curriculum
195. ICML 2023Unifying Molecular and Textual Representations via Multi-task Language Modelling
196. ICML 2023Universal Morphology Control via Contextual Modulation
197. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
198. NeurIPS 2023A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
199. NeurIPS 2023A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
200. NeurIPS 2023AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks

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.