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 4 of 29

151. ICLR 2026Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
152. ICLR 2026Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration
153. ICLR 2026GRO-RAG: Gradient-aware Re-rank Optimization for Multi-source Retrieval-Augmented Generation
154. ICLR 2026Hierarchical Multi-Scale Molecular Conformer Generation with Structural Awareness
155. ICLR 2026Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing
156. ICLR 2026ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference
157. ICLR 2026Kevin: Multi-Turn RL for Generating CUDA Kernels
158. ICLR 2026LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
159. ICLR 2026LongHorizonUI: A Unified Framework for Robust long-horizon Task Automation of GUI Agent
160. ICLR 2026MASS: MoErging through Adaptive Subspace Selection
161. ICLR 2026MergOPT: A Merge-Aware Optimizer for Robust Model Merging
162. ICLR 2026MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
163. ICLR 2026MILPnet: A Multi-Scale Architecture with Geometric Feature Sequence Representations for Advancing MILP Problems
164. ICLR 2026Multi-Agent Debate with Memory Masking
165. ICLR 2026Multi-Armed Bandits with Minimum Aggregated Revenue Constraints
166. ICLR 2026Multi-Condition Conformal Selection
167. ICLR 2026Multi-Head Low-Rank Attention
168. ICLR 2026Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
169. ICLR 2026Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
170. ICLR 2026Multi-objective Large Language Model Alignment with Hierarchical Experts
171. ICLR 2026Multi-ReduNet: Interpretable Class-Wise Decomposition of ReduNet
172. ICLR 2026Multi-Task Low-Rank Model Adaptation
173. ICLR 2026Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
174. ICLR 2026Neural Collapse in Multi-Task Learning
175. ICLR 2026Neural Multi-Objective Combinatorial Optimization for Flexible Job Shop Scheduling Problems
176. ICLR 2026OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
177. ICLR 2026OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
178. ICLR 2026Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
179. ICLR 2026Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification
180. ICLR 2026Property-Driven Protein Inverse Folding with Multi-Objective Preference Alignment
181. ICLR 2026Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
182. ICLR 2026RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
183. ICLR 2026Reasoning-Driven Multimodal LLM for Domain Generalization
184. ICLR 2026Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching
185. ICLR 2026Reward Model Routing in Alignment
186. ICLR 2026Robust Adaptive Multi-Step Predictive Shielding
187. ICLR 2026Robust Multi-Objective Controlled Decoding of Large Language Models
188. ICLR 2026Scaling Multi-Task Bayesian Optimization with Large Language Models
189. ICLR 2026SWERank: Software Issue Localization with Code Ranking
190. ICLR 2026SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
191. ICLR 2026T-TAMER: Provably Taming Trade-offs in ML Serving
192. ICLR 2026Task-Agnostic Amortized Multi-Objective Optimization
193. ICLR 2026The Seismic Wavefield Common Task Framework
194. ICLR 2026Toward Enhancing Representation Learning in Federated Multi-Task Settings
195. ICLR 2026TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees
196. ICLR 2026Uncover Underlying Correspondence for Robust Multi-view Clustering
197. ICLR 2026Universal Multi-Domain Translation via Diffusion Routers
198. ICLR 2026Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
199. ICML 2026A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
200. ICML 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotation

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.