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

393 papers, page 8 of 8

351. NeurIPS 2025OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization
352. NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
353. NeurIPS 2025Optimal Rates in Continual Linear Regression via Increasing Regularization
354. NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
355. NeurIPS 2025Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis
356. NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
357. NeurIPS 2025PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
358. NeurIPS 2025PLD: A Choice-Theoretic List-Wise Knowledge Distillation
359. NeurIPS 2025pLSTM: parallelizable Linear Source Transition Mark networks
360. NeurIPS 2025Post Hoc Regression Refinement via Pairwise Rankings
361. NeurIPS 2025Preference-Based Dynamic Ranking Structure Recognition
362. NeurIPS 2025Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
363. NeurIPS 2025Preference-Guided Diffusion for Multi-Objective Offline Optimization
364. NeurIPS 2025PROFIT: A Specialized Optimizer for Deep Fine Tuning
365. NeurIPS 2025Prompt Tuning Decision Transformers with Structured and Scalable Bandits
366. NeurIPS 2025Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
367. NeurIPS 2025Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
368. NeurIPS 2025Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
369. NeurIPS 2025RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
370. NeurIPS 2025RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
371. NeurIPS 2025RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
372. NeurIPS 2025ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
373. NeurIPS 2025RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
374. NeurIPS 2025RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness
375. NeurIPS 2025Scalable In-context Ranking with Generative Models
376. NeurIPS 2025Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation
377. NeurIPS 2025Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels
378. NeurIPS 2025Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
379. NeurIPS 2025SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
380. NeurIPS 2025STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
381. NeurIPS 2025Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
382. NeurIPS 2025Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
383. NeurIPS 2025The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets
384. NeurIPS 2025Thompson Sampling for Multi-Objective Linear Contextual Bandit
385. NeurIPS 2025Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement
386. NeurIPS 2025Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling
387. NeurIPS 2025Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
388. NeurIPS 2025Transductive Conformal Inference for Full Ranking
389. NeurIPS 2025TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
390. NeurIPS 2025Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
391. NeurIPS 2025Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
392. NeurIPS 2025What Does It Take to Build a Performant Selective Classifier?
393. NeurIPS 2025Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering

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.