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 15 of 29

701. ICML 2025Multi-Objective Causal Bayesian Optimization
702. ICML 2025Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
703. ICML 2025Multi-Session Budget Optimization for Forward Auction-based Federated Learning
704. ICML 2025Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
705. ICML 2025Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
706. ICML 2025No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
707. ICML 2025Optimal Task Order for Continual Learning of Multiple Tasks
708. ICML 2025Optimizing Temperature for Language Models with Multi-Sample Inference
709. ICML 2025Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
710. ICML 2025Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes
711. ICML 2025Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
712. ICML 2025Pareto-frontier Entropy Search with Variational Lower Bound Maximization
713. ICML 2025PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
714. ICML 2025PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
715. ICML 2025Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
716. ICML 2025PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
717. ICML 2025Provable In-Context Vector Arithmetic via Retrieving Task Concepts
718. ICML 2025Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity
719. ICML 2025Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering
720. ICML 2025S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking
721. ICML 2025SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
722. ICML 2025Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
723. ICML 2025Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?
724. ICML 2025Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion
725. ICML 2025Tuning LLM Judge Design Decisions for 1/1000 of the Cost
726. ICML 2025Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods
727. ICML 2025Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
728. ICML 2025When can in-context learning generalize out of task distribution?
729. ICML 2025Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
730. NeurIPS 2025A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
731. NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
732. NeurIPS 2025A machine learning approach that beats Rubik's cubes
733. NeurIPS 2025A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
734. NeurIPS 2025A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
735. NeurIPS 2025AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
736. NeurIPS 2025Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
737. NeurIPS 2025Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
738. NeurIPS 2025AGI-Elo: How Far Are We From Mastering A Task?
739. NeurIPS 2025Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
740. NeurIPS 2025AutoData: A Multi-Agent System for Open Web Data Collection
741. NeurIPS 2025Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
742. NeurIPS 2025Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
743. NeurIPS 2025BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
744. NeurIPS 2025Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
745. NeurIPS 2025Can Class-Priors Help Single-Positive Multi-Label Learning?
746. NeurIPS 2025Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
747. NeurIPS 2025Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
748. NeurIPS 2025COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
749. NeurIPS 2025ComRank: Ranking Loss for Multi-Label Complementary Label Learning
750. NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits

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.