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 10 of 29

451. NeurIPS 2026SelfGuard: Self-Supervised Deviation Modeling for Multi-Modal Jailbreak Detection
452. NeurIPS 2026Sequence-to-Sequence Modeling with Camera-Induced Priors for Multi-View Stereo
453. NeurIPS 2026Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization
454. NeurIPS 2026SING-CH: Task-Scale-Agnostic Lifelong Cross-Modal Hashing on Statistical Manifolds
455. NeurIPS 2026SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization
456. NeurIPS 2026SpecBridge: Learning Natural-Language Formalization Plans for the Formal Specification Synthesis Task
457. NeurIPS 2026SpecHop: Continuous Speculation for Accelerating Multi-Hop Retrieval Agents
458. NeurIPS 2026Spectral-Spatial Interpretation
459. NeurIPS 2026Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation
460. NeurIPS 2026Standing on the Shoulders of Giants: Rethinking EEG Foundation Model Pretraining via Multi-Teacher Distillation
461. NeurIPS 2026STEP: Learning STructured Embeddings for Progressive Time Series
462. NeurIPS 2026Structurally Separated DAG Learning with Multi-Scale Normalized Closure
463. NeurIPS 2026Surface Recovery Is Not State Recovery: Pressure–Recovery–Relapse in Multi-turn LLMs
464. NeurIPS 2026Sustainability in the Loop: AI Model Development Should Be Multi-Objective
465. NeurIPS 2026SyncLight: Single-Edit Multi-View Relighting
466. NeurIPS 2026TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability
467. NeurIPS 2026Task-Aware KV Cache Compression for LLM Agents via Utility-Driven Step Pruning
468. NeurIPS 2026The End Justifies the Mean: Linear Ranking Rules for Proportional Sequential Decisions
469. NeurIPS 2026TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing
470. NeurIPS 2026Towards High Semantic Fidelity: Hyperdimensional Symbolic Messages in Multi-Agent Communication
471. NeurIPS 2026Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual Reasoning
472. NeurIPS 2026Truthful Calibration Errors for Multi-Class Prediction
473. NeurIPS 2026U-MOF: Uncertainty-Guided Parameter-Efficient Multi-Objective Fine-Tuning for Long-Tailed Recognition
474. NeurIPS 2026UGM: Unified Multi-scale Genomic Event Modeling with Site-level Joint Prediction
475. NeurIPS 2026Unified Resource-Grounded Coordination Protocol for Orchestrator-Free Heterogeneous Multi-Agent Systems
476. NeurIPS 2026ViewSAM: Learning View-aware Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking
477. NeurIPS 2026Virtual Task Prompting for Multi-Task Scene Understanding
478. NeurIPS 2026When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction
479. NeurIPS 2026When Does Non-Uniform Replay Matter in Reinforcement Learning?
480. NeurIPS 2026When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding
481. CVPR 20253D Dental Model Segmentation with Geometrical Boundary Preserving
482. CVPR 20253D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
483. CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
484. CVPR 2025ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling
485. CVPR 2025AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
486. CVPR 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
487. CVPR 2025All-Day Multi-Camera Multi-Target Tracking
488. CVPR 2025AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
489. CVPR 2025ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation
490. CVPR 2025ASHiTA: Automatic Scene-grounded HIerarchical Task Analysis
491. CVPR 2025Beyond Human Perception: Understanding Multi-Object World from Monocular View
492. CVPR 2025CaMuViD: Calibration-Free Multi-View Detection
493. CVPR 2025CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models
494. CVPR 2025Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification
495. CVPR 2025CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
496. CVPR 2025CoMatcher: Multi-View Collaborative Feature Matching
497. CVPR 2025Compositional Targeted Multi-Label Universal Perturbations
498. CVPR 2025CorrBEV: Multi-View 3D Object Detection by Correlation Learning with Multi-modal Prototypes
499. CVPR 2025Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion
500. CVPR 2025DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction

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.