Multi-Task Ranking papers, 2023–2026
Multi-objective ranking
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,440 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 56 | 58 | 55 | 83 | 252 |
| 2024 | 110 | 38 | 67 | 100 | 315 |
| 2025 | 144 | 75 | 80 | 94 | 393 |
| 2026 | 175 | 79 | 107 | 119 | 480 |
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 16 of 29
- NeurIPS 2025Constructing an Optimal Behavior Basis for the Option Keyboard
- NeurIPS 2025Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
- NeurIPS 2025Continual Optimization with Symmetry Teleportation for Multi-Task Learning
- NeurIPS 2025Contribution of task-irrelevant stimuli to drift of neural representations
- NeurIPS 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
- NeurIPS 2025CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing
- NeurIPS 2025Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
- NeurIPS 2025DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
- NeurIPS 2025DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
- NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
- NeurIPS 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
- NeurIPS 2025DINO-Foresight: Looking into the Future with DINO
- NeurIPS 2025Diversity-oriented Deep Multi-modal Clustering
- NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
- NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
- NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
- NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
- NeurIPS 2025EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining
- NeurIPS 2025EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
- NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
- NeurIPS 2025Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
- NeurIPS 2025Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
- NeurIPS 2025Extracting task-relevant preserved dynamics from contrastive aligned neural recordings
- NeurIPS 2025FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
- NeurIPS 2025Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
- NeurIPS 2025Federated Continual Learning via Orchestrating Multi-Scale Expertise
- NeurIPS 2025FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
- NeurIPS 2025Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
- NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
- NeurIPS 2025FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization
- NeurIPS 2025G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
- NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
- NeurIPS 2025Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
- NeurIPS 2025GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
- NeurIPS 2025Gradient-Guided Epsilon Constraint Method for Online Continual Learning
- NeurIPS 2025GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining
- NeurIPS 2025GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
- NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
- NeurIPS 2025HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
- NeurIPS 2025Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
- NeurIPS 2025IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
- NeurIPS 2025Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
- NeurIPS 2025Individual Regret in Cooperative Stochastic Multi-Armed Bandits
- NeurIPS 2025Language Ranker: A Lightweight Ranking framework for LLM Decoding
- NeurIPS 2025Large Language Models Miss the Multi-agent Mark
- NeurIPS 2025LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
- NeurIPS 2025Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
- NeurIPS 2025Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
- NeurIPS 2025Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering
- NeurIPS 2025Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Multi-Task Ranking papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "multi-task-ranking"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.