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

250 papers, page 2 of 5

51. ICLR 2026Multi-objective Large Language Model Alignment with Hierarchical Experts
52. ICLR 2026Multi-ReduNet: Interpretable Class-Wise Decomposition of ReduNet
53. ICLR 2026Multi-Task Low-Rank Model Adaptation
54. ICLR 2026Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
55. ICLR 2026Neural Collapse in Multi-Task Learning
56. ICLR 2026Neural Multi-Objective Combinatorial Optimization for Flexible Job Shop Scheduling Problems
57. ICLR 2026OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
58. ICLR 2026OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
59. ICLR 2026Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
60. ICLR 2026Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification
61. ICLR 2026Property-Driven Protein Inverse Folding with Multi-Objective Preference Alignment
62. ICLR 2026Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
63. ICLR 2026RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
64. ICLR 2026Reasoning-Driven Multimodal LLM for Domain Generalization
65. ICLR 2026Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching
66. ICLR 2026Reward Model Routing in Alignment
67. ICLR 2026Robust Adaptive Multi-Step Predictive Shielding
68. ICLR 2026Robust Multi-Objective Controlled Decoding of Large Language Models
69. ICLR 2026Scaling Multi-Task Bayesian Optimization with Large Language Models
70. ICLR 2026SWERank: Software Issue Localization with Code Ranking
71. ICLR 2026SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
72. ICLR 2026T-TAMER: Provably Taming Trade-offs in ML Serving
73. ICLR 2026Task-Agnostic Amortized Multi-Objective Optimization
74. ICLR 2026The Seismic Wavefield Common Task Framework
75. ICLR 2026Toward Enhancing Representation Learning in Federated Multi-Task Settings
76. ICLR 2026TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees
77. ICLR 2026Uncover Underlying Correspondence for Robust Multi-view Clustering
78. ICLR 2026Universal Multi-Domain Translation via Diffusion Routers
79. ICLR 2026Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
80. ICLR 2025A Statistical Framework for Ranking LLM-based Chatbots
81. ICLR 2025Accelerating Task Generalisation with Multi-Level Skill Hierarchies
82. ICLR 2025Active Task Disambiguation with LLMs
83. ICLR 2025Agent-Oriented Planning in Multi-Agent Systems
84. ICLR 2025Balanced Ranking with Relative Centrality: A multi-core periphery perspective
85. ICLR 2025BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
86. ICLR 2025BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
87. ICLR 2025CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
88. ICLR 2025CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
89. ICLR 2025ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
90. ICLR 2025Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
91. ICLR 2025CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations
92. ICLR 2025DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
93. ICLR 2025Denoising Task Difficulty-based Curriculum for Training Diffusion Models
94. ICLR 2025DEPT: Decoupled Embeddings for Pre-training Language Models
95. ICLR 2025Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
96. ICLR 2025Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning
97. ICLR 2025Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
98. ICLR 2025EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents
99. ICLR 2025Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
100. ICLR 2025Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic

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.