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

315 papers, page 2 of 7

51. CVPR 2024MoST: Multi-Modality Scene Tokenization for Motion Prediction
52. CVPR 2024MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception
53. CVPR 2024mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
54. CVPR 2024MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
55. CVPR 2024MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning
56. CVPR 2024MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
57. CVPR 2024Multi-Attribute Interactions Matter for 3D Visual Grounding
58. CVPR 2024Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
59. CVPR 2024Multi-modal Learning for Geospatial Vegetation Forecasting
60. CVPR 2024Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering
61. CVPR 2024Multi-Object Tracking in the Dark
62. CVPR 2024Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning
63. CVPR 2024Multi-Space Alignments Towards Universal LiDAR Segmentation
64. CVPR 2024Multi-Task Dense Prediction via Mixture of Low-Rank Experts
65. CVPR 2024Multi-View Attentive Contextualization for Multi-View 3D Object Detection
66. CVPR 2024MuRF: Multi-Baseline Radiance Fields
67. CVPR 2024MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
68. CVPR 2024MVCPS-NeuS: Multi-view Constrained Photometric Stereo for Neural Surface Reconstruction
69. CVPR 2024MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior
70. CVPR 2024OAKINK2: A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion
71. CVPR 2024Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
72. CVPR 2024Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi
73. CVPR 2024Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs
74. CVPR 2024Prompt Highlighter: Interactive Control for Multi-Modal LLMs
75. CVPR 2024Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
76. CVPR 2024Quantifying Task Priority for Multi-Task Optimization
77. CVPR 2024RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
78. CVPR 2024Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
79. CVPR 2024Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
80. CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
81. CVPR 2024Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
82. CVPR 2024S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
83. CVPR 2024Sharingan: A Transformer Architecture for Multi-Person Gaze Following
84. CVPR 2024SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
85. CVPR 2024StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
86. CVPR 2024SuperNormal: Neural Surface Reconstruction via Multi-View Normal Integration
87. CVPR 2024Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
88. CVPR 2024Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
89. CVPR 2024Task-Driven Wavelets using Constrained Empirical Risk Minimization
90. CVPR 2024Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
91. CVPR 2024Towards Calibrated Multi-label Deep Neural Networks
92. CVPR 2024Towards Generalizable Multi-Object Tracking
93. CVPR 2024Towards Progressive Multi-Frequency Representation for Image Warping
94. CVPR 2024Training-Free Pretrained Model Merging
95. CVPR 2024TULIP: Multi-camera 3D Precision Assessment of Parkinson's Disease
96. CVPR 2024View-Category Interactive Sharing Transformer for Incomplete Multi-View Multi-Label Learning
97. CVPR 2024Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
98. CVPR 2024Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
99. CVPR 2024Wired Perspectives: Multi-View Wire Art Embraces Generative AI
100. CVPR 2024YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection

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.