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 5 of 10

201. NeurIPS 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
202. NeurIPS 2025CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing
203. NeurIPS 2025Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
204. NeurIPS 2025DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
205. NeurIPS 2025DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
206. NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
207. NeurIPS 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
208. NeurIPS 2025DINO-Foresight: Looking into the Future with DINO
209. NeurIPS 2025Diversity-oriented Deep Multi-modal Clustering
210. NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
211. NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
212. NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
213. NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
214. NeurIPS 2025EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining
215. NeurIPS 2025EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
216. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
217. NeurIPS 2025Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
218. NeurIPS 2025Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
219. NeurIPS 2025Extracting task-relevant preserved dynamics from contrastive aligned neural recordings
220. NeurIPS 2025FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
221. NeurIPS 2025Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
222. NeurIPS 2025Federated Continual Learning via Orchestrating Multi-Scale Expertise
223. NeurIPS 2025FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
224. NeurIPS 2025Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
225. NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
226. NeurIPS 2025FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization
227. NeurIPS 2025G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
228. NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
229. NeurIPS 2025Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
230. NeurIPS 2025GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
231. NeurIPS 2025Gradient-Guided Epsilon Constraint Method for Online Continual Learning
232. NeurIPS 2025GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining
233. NeurIPS 2025GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
234. NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
235. NeurIPS 2025HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
236. NeurIPS 2025Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
237. NeurIPS 2025IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
238. NeurIPS 2025Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
239. NeurIPS 2025Individual Regret in Cooperative Stochastic Multi-Armed Bandits
240. NeurIPS 2025Language Ranker: A Lightweight Ranking framework for LLM Decoding
241. NeurIPS 2025Large Language Models Miss the Multi-agent Mark
242. NeurIPS 2025LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
243. NeurIPS 2025Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
244. NeurIPS 2025Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
245. NeurIPS 2025Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering
246. NeurIPS 2025Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
247. NeurIPS 2025Learning Task-Agnostic Representations through Multi-Teacher Distillation
248. NeurIPS 2025Learning to Learn with Contrastive Meta-Objective
249. NeurIPS 2025Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
250. NeurIPS 2025LIFEBENCH: Evaluating Length Instruction Following in Large Language Models

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.