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

485 papers, page 8 of 10

351. NeurIPS 2024D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup
352. NeurIPS 2024Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization
353. NeurIPS 2024Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
354. NeurIPS 2024Derandomizing Multi-Distribution Learning
355. NeurIPS 2024DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
356. NeurIPS 2024DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
357. NeurIPS 2024Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
358. NeurIPS 2024Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
359. NeurIPS 2024Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
360. NeurIPS 2024Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
361. NeurIPS 2024EMR-Merging: Tuning-Free High-Performance Model Merging
362. NeurIPS 2024Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering
363. NeurIPS 2024Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
364. NeurIPS 2024Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
365. NeurIPS 2024FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
366. NeurIPS 2024Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
367. NeurIPS 2024GO4Align: Group Optimization for Multi-Task Alignment
368. NeurIPS 2024Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning
369. NeurIPS 2024GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
370. NeurIPS 2024HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
371. NeurIPS 2024Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
372. NeurIPS 2024Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
373. NeurIPS 2024Improved learning rates in multi-unit uniform price auctions
374. NeurIPS 2024Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse
375. NeurIPS 2024Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline
376. NeurIPS 2024Instruction Embedding: Latent Representations of Instructions Towards Task Identification
377. NeurIPS 2024Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
378. NeurIPS 2024Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
379. NeurIPS 2024Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
380. NeurIPS 2024LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss
381. NeurIPS 2024Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
382. NeurIPS 2024MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
383. NeurIPS 2024MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
384. NeurIPS 2024MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
385. NeurIPS 2024MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
386. NeurIPS 2024MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins
387. NeurIPS 2024MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation
388. NeurIPS 2024MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
389. NeurIPS 2024MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
390. NeurIPS 2024Multi-Instance Partial-Label Learning with Margin Adjustment
391. NeurIPS 2024Multi-Label Learning with Stronger Consistency Guarantees
392. NeurIPS 2024Multi-language Diversity Benefits Autoformalization
393. NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
394. NeurIPS 2024MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
395. NeurIPS 2024NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing
396. NeurIPS 2024Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
397. NeurIPS 2024Neural Persistence Dynamics
398. NeurIPS 2024NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
399. NeurIPS 2024Optimal Multi-Fidelity Best-Arm Identification
400. NeurIPS 2024Optimal Top-Two Method for Best Arm Identification and Fluid Analysis

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.