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

250 papers, page 5 of 5

201. ICLR 2023Compositional Task Representations for Large Language Models
202. ICLR 2023DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
203. ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
204. ICLR 2023Editing models with task arithmetic
205. ICLR 2023Efficiently Controlling Multiple Risks with Pareto Testing
206. ICLR 2023Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
207. ICLR 2023EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
208. ICLR 2023Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
209. ICLR 2023f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
210. ICLR 2023Fast Nonlinear Vector Quantile Regression
211. ICLR 2023Gradient Gating for Deep Multi-Rate Learning on Graphs
212. ICLR 2023GReTo: Remedying dynamic graph topology-task discordance via target homophily
213. ICLR 2023HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
214. ICLR 2023How to prepare your task head for finetuning
215. ICLR 2023HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
216. ICLR 2023Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
217. ICLR 2023Learning multi-scale local conditional probability models of images
218. ICLR 2023Learning Proximal Operators to Discover Multiple Optima
219. ICLR 2023Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
220. ICLR 2023Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
221. ICLR 2023Monocular Scene Reconstruction with 3D SDF Transformers
222. ICLR 2023Multi-level Protein Structure Pre-training via Prompt Learning
223. ICLR 2023Multi-Objective Online Learning
224. ICLR 2023Multi-objective optimization via equivariant deep hypervolume approximation
225. ICLR 2023Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
226. ICLR 2023Multi-skill Mobile Manipulation for Object Rearrangement
227. ICLR 2023Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
228. ICLR 2023Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization
229. ICLR 2023Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
230. ICLR 2023On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
231. ICLR 2023Online Bias Correction for Task-Free Continual Learning
232. ICLR 2023Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
233. ICLR 2023PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
234. ICLR 2023Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
235. ICLR 2023Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
236. ICLR 2023Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots
237. ICLR 2023Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
238. ICLR 2023Revisiting Populations in multi-agent Communication
239. ICLR 2023Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL
240. ICLR 2023Simple Emergent Action Representations from Multi-Task Policy Training
241. ICLR 2023SLTUNET: A Simple Unified Model for Sign Language Translation
242. ICLR 2023SMART: Self-supervised Multi-task pretrAining with contRol Transformers
243. ICLR 2023Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
244. ICLR 2023Stochastic Multi-Person 3D Motion Forecasting
245. ICLR 2023STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK
246. ICLR 2023Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
247. ICLR 2023Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
248. ICLR 2023Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
249. ICLR 2023TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding
250. ICLR 2023Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks

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.