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

393 papers, page 4 of 8

151. ICLR 2025ParetoFlow: Guided Flows in Multi-Objective Optimization
152. ICLR 2025Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
153. ICLR 2025QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
154. ICLR 2025Redefining the task of Bioactivity Prediction
155. ICLR 2025Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
156. ICLR 2025Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
157. ICLR 2025Selective Task Group Updates for Multi-Task Optimization
158. ICLR 2025STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
159. ICLR 2025Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
160. ICLR 2025Task Descriptors Help Transformers Learn Linear Models In-Context
161. ICLR 2025Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
162. ICLR 2025TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types
163. ICLR 2025Tool-Planner: Task Planning with Clusters across Multiple Tools
164. ICLR 2025Towards Optimal Multi-draft Speculative Decoding
165. ICLR 2025Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
166. ICLR 2025Trusted Multi-View Classification via Evolutionary Multi-View Fusion
167. ICLR 2025When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
168. ICLR 2025Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression
169. ICLR 2025XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
170. ICML 2025A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
171. ICML 2025A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
172. ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
173. ICML 2025A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
174. ICML 2025A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
175. ICML 2025Active feature acquisition via explainability-driven ranking
176. ICML 2025Active Fine-Tuning of Multi-Task Policies
177. ICML 2025Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
178. ICML 2025Aligned Multi Objective Optimization
179. ICML 2025ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning
180. ICML 2025ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
181. ICML 2025BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
182. ICML 2025Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
183. ICML 2025Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning
184. ICML 2025Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
185. ICML 2025Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
186. ICML 2025Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
187. ICML 2025Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning
188. ICML 2025CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
189. ICML 2025CALM: Consensus-Aware Localized Merging for Multi-Task Learning
190. ICML 2025CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
191. ICML 2025Constrained Pareto Set Identification with Bandit Feedback
192. ICML 2025Deep Fuzzy Multi-view Learning for Reliable Classification
193. ICML 2025Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning
194. ICML 2025DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
195. ICML 2025Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
196. ICML 2025Enhancing Logits Distillation with Plug&Play Kendall's $\tau$ Ranking Loss
197. ICML 2025Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
198. ICML 2025Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
199. ICML 2025From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
200. ICML 2025Goal-Oriented Skill Abstraction for Offline Multi-Task 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.