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 6 of 10

251. NeurIPS 2025LLM-PySC2: Starcraft II learning environment for Large Language Models
252. NeurIPS 2025MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
253. NeurIPS 2025Meta-World+: An Improved, Standardized, RL Benchmark
254. NeurIPS 2025MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
255. NeurIPS 2025MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation
256. NeurIPS 2025MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
257. NeurIPS 2025Momentum Multi-Marginal Schrödinger Bridge Matching
258. NeurIPS 2025MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
259. NeurIPS 2025MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
260. NeurIPS 2025MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
261. NeurIPS 2025Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
262. NeurIPS 2025Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
263. NeurIPS 2025Multi-head Temporal Latent Attention
264. NeurIPS 2025Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent
265. NeurIPS 2025Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
266. NeurIPS 2025Multi-Objective One-Shot Pruning for Large Language Models
267. NeurIPS 2025Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
268. NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
269. NeurIPS 2025Multi-Token Prediction Needs Registers
270. NeurIPS 2025MVSMamba: Multi-View Stereo with State Space Model
271. NeurIPS 2025Neural Evolution Strategy for Black-box Pareto Set Learning
272. NeurIPS 2025NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
273. NeurIPS 2025Objective Soups: Multilingual Multi-Task Modeling for Speech Processing
274. NeurIPS 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
275. NeurIPS 2025On the sample complexity of semi-supervised multi-objective learning
276. NeurIPS 2025One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning
277. NeurIPS 2025OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization
278. NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
279. NeurIPS 2025Optimal Rates in Continual Linear Regression via Increasing Regularization
280. NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
281. NeurIPS 2025Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis
282. NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
283. NeurIPS 2025PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
284. NeurIPS 2025PLD: A Choice-Theoretic List-Wise Knowledge Distillation
285. NeurIPS 2025pLSTM: parallelizable Linear Source Transition Mark networks
286. NeurIPS 2025Post Hoc Regression Refinement via Pairwise Rankings
287. NeurIPS 2025Preference-Based Dynamic Ranking Structure Recognition
288. NeurIPS 2025Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
289. NeurIPS 2025Preference-Guided Diffusion for Multi-Objective Offline Optimization
290. NeurIPS 2025PROFIT: A Specialized Optimizer for Deep Fine Tuning
291. NeurIPS 2025Prompt Tuning Decision Transformers with Structured and Scalable Bandits
292. NeurIPS 2025Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
293. NeurIPS 2025Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
294. NeurIPS 2025Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
295. NeurIPS 2025RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
296. NeurIPS 2025RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
297. NeurIPS 2025RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
298. NeurIPS 2025ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
299. NeurIPS 2025RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
300. NeurIPS 2025RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness

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.