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

144 papers, page 1 of 3

1. NeurIPS 2025A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
2. NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
3. NeurIPS 2025A machine learning approach that beats Rubik's cubes
4. NeurIPS 2025A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
5. NeurIPS 2025A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
6. NeurIPS 2025AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
7. NeurIPS 2025Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
8. NeurIPS 2025Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
9. NeurIPS 2025AGI-Elo: How Far Are We From Mastering A Task?
10. NeurIPS 2025Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
11. NeurIPS 2025AutoData: A Multi-Agent System for Open Web Data Collection
12. NeurIPS 2025Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
13. NeurIPS 2025Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
14. NeurIPS 2025BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
15. NeurIPS 2025Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
16. NeurIPS 2025Can Class-Priors Help Single-Positive Multi-Label Learning?
17. NeurIPS 2025Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
18. NeurIPS 2025Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
19. NeurIPS 2025COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
20. NeurIPS 2025ComRank: Ranking Loss for Multi-Label Complementary Label Learning
21. NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
22. NeurIPS 2025Constructing an Optimal Behavior Basis for the Option Keyboard
23. NeurIPS 2025Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
24. NeurIPS 2025Continual Optimization with Symmetry Teleportation for Multi-Task Learning
25. NeurIPS 2025Contribution of task-irrelevant stimuli to drift of neural representations
26. NeurIPS 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
27. NeurIPS 2025CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing
28. NeurIPS 2025Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
29. NeurIPS 2025DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
30. NeurIPS 2025DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
31. NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
32. NeurIPS 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
33. NeurIPS 2025DINO-Foresight: Looking into the Future with DINO
34. NeurIPS 2025Diversity-oriented Deep Multi-modal Clustering
35. NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
36. NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
37. NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
38. NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
39. NeurIPS 2025EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining
40. NeurIPS 2025EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
41. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
42. NeurIPS 2025Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
43. NeurIPS 2025Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
44. NeurIPS 2025Extracting task-relevant preserved dynamics from contrastive aligned neural recordings
45. NeurIPS 2025FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
46. NeurIPS 2025Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
47. NeurIPS 2025Federated Continual Learning via Orchestrating Multi-Scale Expertise
48. NeurIPS 2025FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
49. NeurIPS 2025Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
50. NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning

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.