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 27 of 29

1301. ICLR 2023Multi-level Protein Structure Pre-training via Prompt Learning
1302. ICLR 2023Multi-Objective Online Learning
1303. ICLR 2023Multi-objective optimization via equivariant deep hypervolume approximation
1304. ICLR 2023Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
1305. ICLR 2023Multi-skill Mobile Manipulation for Object Rearrangement
1306. ICLR 2023Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
1307. ICLR 2023Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization
1308. ICLR 2023Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
1309. ICLR 2023On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
1310. ICLR 2023Online Bias Correction for Task-Free Continual Learning
1311. ICLR 2023Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
1312. ICLR 2023PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
1313. ICLR 2023Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
1314. ICLR 2023Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
1315. ICLR 2023Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots
1316. ICLR 2023Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
1317. ICLR 2023Revisiting Populations in multi-agent Communication
1318. ICLR 2023Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL
1319. ICLR 2023Simple Emergent Action Representations from Multi-Task Policy Training
1320. ICLR 2023SLTUNET: A Simple Unified Model for Sign Language Translation
1321. ICLR 2023SMART: Self-supervised Multi-task pretrAining with contRol Transformers
1322. ICLR 2023Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
1323. ICLR 2023Stochastic Multi-Person 3D Motion Forecasting
1324. ICLR 2023STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK
1325. ICLR 2023Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
1326. ICLR 2023Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
1327. ICLR 2023Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
1328. ICLR 2023TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding
1329. ICLR 2023Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
1330. ICML 2023A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
1331. ICML 2023Active Ranking of Experts Based on their Performances in Many Tasks
1332. ICML 2023Auxiliary Learning as an Asymmetric Bargaining Game
1333. ICML 2023Best Arm Identification in Multi-Agent Multi-Armed Bandits
1334. ICML 2023Cluster-Specific Predictions with Multi-Task Gaussian Processes
1335. ICML 2023CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
1336. ICML 2023Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
1337. ICML 2023Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
1338. ICML 2023Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
1339. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
1340. ICML 2023Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
1341. ICML 2023Estimating Causal Effects using a Multi-task Deep Ensemble
1342. ICML 2023FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
1343. ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
1344. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
1345. ICML 2023Improved Active Multi-Task Representation Learning via Lasso
1346. ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
1347. ICML 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
1348. ICML 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning
1349. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
1350. ICML 2023MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior

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.