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

252 papers, page 5 of 6

201. NeurIPS 2023Active Bipartite Ranking
202. NeurIPS 2023Active Learning for Semantic Segmentation with Multi-class Label Query
203. NeurIPS 2023AIMS: All-Inclusive Multi-Level Segmentation for Anything
204. NeurIPS 2023An active learning framework for multi-group mean estimation
205. NeurIPS 2023Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
206. NeurIPS 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
207. NeurIPS 2023Bandit Task Assignment with Unknown Processing Time
208. NeurIPS 2023BanditPAM++: Faster $k$-medoids Clustering
209. NeurIPS 2023Bayesian Active Causal Discovery with Multi-Fidelity Experiments
210. NeurIPS 2023CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations
211. NeurIPS 2023Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
212. NeurIPS 2023DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
213. NeurIPS 2023Deep Momentum Multi-Marginal Schrödinger Bridge
214. NeurIPS 2023Demystifying the Optimal Performance of Multi-Class Classification
215. NeurIPS 2023Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
216. NeurIPS 2023Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
217. NeurIPS 2023Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
218. NeurIPS 2023Federated Multi-Objective Learning
219. NeurIPS 2023Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
220. NeurIPS 2023Finite-Time Logarithmic Bayes Regret Upper Bounds
221. NeurIPS 2023ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
222. NeurIPS 2023Generalized test utilities for long-tail performance in extreme multi-label classification
223. NeurIPS 2023Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning
224. NeurIPS 2023ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
225. NeurIPS 2023Learning List-Level Domain-Invariant Representations for Ranking
226. NeurIPS 2023Learning Shared Safety Constraints from Multi-task Demonstrations
227. NeurIPS 2023M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark
228. NeurIPS 2023Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
229. NeurIPS 2023Meta-Learning Adversarial Bandit Algorithms
230. NeurIPS 2023Multi-Fidelity Multi-Armed Bandits Revisited
231. NeurIPS 2023Multi-Head Adapter Routing for Cross-Task Generalization
232. NeurIPS 2023Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems
233. NeurIPS 2023Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
234. NeurIPS 2023Multi-scale Diffusion Denoised Smoothing
235. NeurIPS 2023Multi-Swap k-Means++
236. NeurIPS 2023Multi-task learning with summary statistics
237. NeurIPS 2023Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
238. NeurIPS 2023NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
239. NeurIPS 2023Optimistic Rates for Multi-Task Representation Learning
240. NeurIPS 2023Orthogonal Non-negative Tensor Factorization based Multi-view Clustering
241. NeurIPS 2023RD-Suite: A Benchmark for Ranking Distillation
242. NeurIPS 2023Real-World Image Super-Resolution as Multi-Task Learning
243. NeurIPS 2023Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
244. NeurIPS 2023Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
245. NeurIPS 2023Sample-efficient Multi-objective Molecular Optimization with GFlowNets
246. NeurIPS 2023Scientific Document Retrieval using Multi-level Aspect-based Queries
247. NeurIPS 2023Secure Out-of-Distribution Task Generalization with Energy-Based Models
248. NeurIPS 2023Task-aware Distributed Source Coding under Dynamic Bandwidth
249. NeurIPS 2023Task-Robust Pre-Training for Worst-Case Downstream Adaptation
250. NeurIPS 2023The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation

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.