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 3 of 29

101. CVPR 2026SPE-MVS Spatial Position Encoding Enhanced Multi-View Stereo with Monocular Depth
102. CVPR 2026StableMTL Repurposing Latent Diffusion Models for Multi-Task Learning from Partially
103. CVPR 2026STAGE Storyboard-Anchored Generation for Cinematic Multi-shot Narrative
104. CVPR 2026STAR-R1 Multi-View Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs
105. CVPR 2026Task-Aware Image Signal Processor for Advanced Visual Perception
106. CVPR 2026TaskIT Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer
107. CVPR 2026Temporal Interaction in Spiking Transformers with Multi-Delay Mixer
108. CVPR 2026TempR1 Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement
109. CVPR 2026Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing
110. CVPR 2026Towards Balanced Multi-Modal Learning in 3D Human Pose Estimation
111. CVPR 2026TROPHIES Temporal Reconstruction of Places Humans and Cameras from Multi-view
112. CVPR 2026UIKA Fast Universal Head Avatar from Pose-Free Images
113. CVPR 2026UnityVideo Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation
114. CVPR 2026URScenes A Multi-scenario Dataset for Unstructured Road Environments
115. CVPR 2026V2-SAM Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
116. CVPR 2026Virtual Immunohistochemistry Staining with Dual-Aligned Multi-Task Feature Guidance
117. CVPR 2026Wan-Weaver Interleaved Multi-modal Generation via Decoupled Training
118. CVPR 2026When CLIP Sees More It Fights Back Harder Multi-View Guided
119. CVPR 2026WHU-MARS A Multispectral Aerial-Ground Benchmark Towards Any-Scenario Person Re-Identification
120. ICLR 2026A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning
121. ICLR 2026AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
122. ICLR 2026Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?
123. ICLR 2026Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization
124. ICLR 2026Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs
125. ICLR 2026BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management
126. ICLR 2026CatalystBench: A Comprehensive Multi-Task Benchmark for Advancing Language Models in Catalysis Science
127. ICLR 2026CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design
128. ICLR 2026Context Learning for Multi-Agent Discussion
129. ICLR 2026Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets
130. ICLR 2026Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
131. ICLR 2026Denoising Neural Reranker for Recommender Systems
132. ICLR 2026Diagnosing Failures in Generalization from Task-Relevant Representational Geometry
133. ICLR 2026Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
134. ICLR 2026Discovering Novel LLM Experts via Task-Capability Coevolution
135. ICLR 2026DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
136. ICLR 2026Domain Expansion: A Latent Space Construction Framework for Multi-Task Learning
137. ICLR 2026DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
138. ICLR 2026Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations
139. ICLR 2026Efficient Estimation of Kernel Surrogate Models for Task Attribution
140. ICLR 2026Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits
141. ICLR 2026Enhanced Continual Learning of Vision-Language Models with Model Fusion
142. ICLR 2026Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs
143. ICLR 2026Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning
144. ICLR 2026EquAct: An SE(3)-Equivariant Multi-Task Transformer for 3D Robotic Manipulation
145. ICLR 2026Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
146. ICLR 2026FRABench and UFEval: Unified Fine-grained Evaluation with Task and Aspect Generalization
147. ICLR 2026From Embedding to Control: Representations for Stochastic Multi-Object Systems
148. ICLR 2026From Gradient Volume to Shapley Fairness: Towards Fair Multi-Task Learning
149. ICLR 2026G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation
150. ICLR 2026GoalRank: Group-Relative Optimization for a Large Ranking Model

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.