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

110 papers, page 2 of 3

51. NeurIPS 2024HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
52. NeurIPS 2024Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
53. NeurIPS 2024Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
54. NeurIPS 2024Improved learning rates in multi-unit uniform price auctions
55. NeurIPS 2024Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse
56. NeurIPS 2024Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline
57. NeurIPS 2024Instruction Embedding: Latent Representations of Instructions Towards Task Identification
58. NeurIPS 2024Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
59. NeurIPS 2024Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
60. NeurIPS 2024Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
61. NeurIPS 2024LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss
62. NeurIPS 2024Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
63. NeurIPS 2024MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
64. NeurIPS 2024MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
65. NeurIPS 2024MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
66. NeurIPS 2024MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
67. NeurIPS 2024MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins
68. NeurIPS 2024MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation
69. NeurIPS 2024MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
70. NeurIPS 2024MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
71. NeurIPS 2024Multi-Instance Partial-Label Learning with Margin Adjustment
72. NeurIPS 2024Multi-Label Learning with Stronger Consistency Guarantees
73. NeurIPS 2024Multi-language Diversity Benefits Autoformalization
74. NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
75. NeurIPS 2024MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
76. NeurIPS 2024NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing
77. NeurIPS 2024Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
78. NeurIPS 2024Neural Persistence Dynamics
79. NeurIPS 2024NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
80. NeurIPS 2024Optimal Multi-Fidelity Best-Arm Identification
81. NeurIPS 2024Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
82. NeurIPS 2024PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
83. NeurIPS 2024Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
84. NeurIPS 2024Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
85. NeurIPS 2024Pre-trained Large Language Models Use Fourier Features to Compute Addition
86. NeurIPS 2024Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
87. NeurIPS 2024Predicting Label Distribution from Ternary Labels
88. NeurIPS 2024Preference Learning Algorithms Do Not Learn Preference Rankings
89. NeurIPS 2024Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
90. NeurIPS 2024RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
91. NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
92. NeurIPS 2024Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
93. NeurIPS 2024Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
94. NeurIPS 2024SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding
95. NeurIPS 2024Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
96. NeurIPS 2024Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
97. NeurIPS 2024SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
98. NeurIPS 2024Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
99. NeurIPS 2024TaskBench: Benchmarking Large Language Models for Task Automation
100. NeurIPS 2024Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution

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.