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 9 of 29

401. NeurIPS 2026Mitigating Reward Hacking via Task Representations
402. NeurIPS 2026MLLM Makes Strong Backbone for Multi-Modal Object Detection
403. NeurIPS 2026MOBO-CAPS: Multi-objective Bayesian Optimization with Cardinality-Aware Pareto Selection
404. NeurIPS 2026Models Recall What They Violate: Constraint Adherence in Multi-Turn LLM Ideation
405. NeurIPS 2026MODULE: A Mutual-Promoting Deep Unfolding Framework Towards Degradation-Robust Multi-modal Image Fusion
406. NeurIPS 2026MoMHa: Multi-Objective Optimization of LLM Harnesses over Accuracy, Safety, and Tokens
407. NeurIPS 2026Multi-Constrained Randomized Smoothing Certificates
408. NeurIPS 2026Multi-Environment POMDPs with Finite-Horizon Objectives
409. NeurIPS 2026Multi-Level Alignment Framework for Long-Term Olfactory Neural Decoding
410. NeurIPS 2026Multi-Nonsmooth-Nonconvex-Objective Optimization
411. NeurIPS 2026Multi-Objective Causal Bandits: Minimal Intervention Space and Policy-Level Learning
412. NeurIPS 2026Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution
413. NeurIPS 2026Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards
414. NeurIPS 2026Multi-Turn RL Makes Small Language Model Competitive for Optimization Modeling
415. NeurIPS 2026Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
416. NeurIPS 2026MvFFN: Multi-view Floor-Plan Feed-Forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction
417. NeurIPS 2026Near-Optimal Learning in Parametric Bandits with Action-Dependent Coarsened Feedback
418. NeurIPS 2026Need-Aware Multi-Objective Reinforcement Learning for Emotionally Intelligent LLM Agents
419. NeurIPS 2026Noise-Level KL Rates for Multi-Marginal Schrödinger Bridge Surrogates
420. NeurIPS 2026On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization
421. NeurIPS 2026OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
422. NeurIPS 2026Optimize Once, Execute Fast: Latency-Aware Multi-Agent Workflow Learning for Recurrent Queries
423. NeurIPS 2026Outlier-Robust Multi-Output Gaussian Processes
424. NeurIPS 2026Panoptic Saliency Ranking
425. NeurIPS 2026Permutation Sensitivity in t-SVD-based Multi-view Clustering
426. NeurIPS 2026Physical AI Smart Spaces: A Large-Scale Benchmark for Multi-Camera 3D Perception in Smart Spaces
427. NeurIPS 2026PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios
428. NeurIPS 2026Platonic Task Arithmetic
429. NeurIPS 2026Position: Lottery Tickets Do Not Explain Overparameterization. How About Escape Dimensions?
430. NeurIPS 2026PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks
431. NeurIPS 2026Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization
432. NeurIPS 2026Prefix Executability: Evaluating Tool-Using Agents Beyond Final Success
433. NeurIPS 2026PRISM:Disentangling Preference Distributions for Generative Ranking
434. NeurIPS 2026ProbMedTOD: A Bayesian Network Guided Task-Oriented Dialogue System for Patient History Taking
435. NeurIPS 2026Proportionality in Ranking Compression
436. NeurIPS 2026PurpleAudit: A Co-Evolutionary Auditing Framework for Task Hijacking in Multi-Agent Systems
437. NeurIPS 2026QDMouse4M: A Multi-View 3D Mouse Spontaneous Behavior Dataset with Quantum-Dot Markers
438. NeurIPS 2026Quality-Diversity Optimization as Multi-Objective Optimization
439. NeurIPS 2026Quantum Speedup of Multi-armed Bandits at Scale by Tackling Memory Decoherence
440. NeurIPS 2026RAMA: Resistance-Aware Multi-Hop Aggregation Graph Representation Learning for Robust Ethereum Account Classification
441. NeurIPS 2026Reading Between the Dots: Decoding Hidden Computation across Filler Tokens
442. NeurIPS 2026Reset Dependence Is Embodied: Training Protocol Changes Which Morphologies Appear Optimal
443. NeurIPS 2026Rethinking Personalized Generation: Test-time Alignment via Factorized Ranking Models
444. NeurIPS 2026Robust Multi-view Clustering against Imperfect Information
445. NeurIPS 2026Robust Task-Aware State Estimation from Pre-trained Perception
446. NeurIPS 2026Sandboxed Coding Agents are Competitive Omni-modal Task Solvers
447. NeurIPS 2026SCHOLARPEER: A Multi-Agent Framework for Automated Peer Review
448. NeurIPS 2026SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objectives
449. NeurIPS 2026Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models
450. NeurIPS 2026Selective Rollout: Mid-Trajectory Termination for Multi-Sample Agent RL

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.