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 2 of 10

51. NeurIPS 2026Evaluating Whether LLMs Can Reliably Connect the DOTs?
52. NeurIPS 2026Event based Multi-Velocity-Scale Imaging
53. NeurIPS 2026EvoCodeBench: Evaluating Coding Agents in Multi-Turn Iterative Interactions
54. NeurIPS 2026Fair Bubble Sort: Provably Optimal Fair Ranking with Continuous Sensitive Attributes
55. NeurIPS 2026Few-shot Task Learning via Compositional Concept Inference
56. NeurIPS 2026FlashFFN: Multi-Head Decomposition Enables I/O-Aware Feed-Forward Network
57. NeurIPS 2026FlowSteer: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems
58. NeurIPS 2026Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap
59. NeurIPS 2026Frequency-Structured Hamiltonian Neural Network for Multi-Timescale Dynamics
60. NeurIPS 2026From Detection to Understanding — A Multi-Task Dataset for Traffic Anomaly Reasoning
61. NeurIPS 2026Frontier Task Synthesis Via Solution-Centric Evolution
62. NeurIPS 2026Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness
63. NeurIPS 2026Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
64. NeurIPS 2026Group Perspective Matters: Regulating Debate Relationships Can Mitigate Blind Conformity in Multi-Agent Debate
65. NeurIPS 2026Grouped Adaptive Head Mixing for Personalized Multi-Task Federated Reinforcement Learning
66. NeurIPS 2026Heterogeneous Judge-Aware Ranking with Sensitivity, Disagreement, and Confidence
67. NeurIPS 2026Hitting Time Isomorphism for Multi-Stage Planning with Foundation Policies
68. NeurIPS 2026Hydra: Towards Transferable Multi-Task Learning on Temporal Graphs
69. NeurIPS 2026Implicit Value Probing: Inferring Human Value Preferences via Strategic Multi-Turn Conversations
70. NeurIPS 2026Individuals Matter: Improving Deep Multi-View Clustering via Explicit Single-View Enhancement
71. NeurIPS 2026InfoFlow: A Framework for Multi-Layer Transformer Analysis
72. NeurIPS 2026Insight-Driven Search: A Framework for Multi-objective Automated Heuristic Design with Large Language Models
73. NeurIPS 2026InTAct: Interval-based Task Activation Consolidation for Continual Learning
74. NeurIPS 2026Interpretable Multiway-Split Trees
75. NeurIPS 2026Intrinsically Interpretable Attention via Sparse Post-Training
76. NeurIPS 2026Iterative ILP with Update-Size Control for Reducing Surrogate-Task Mismatch in Bit-Width Selection
77. NeurIPS 2026Jacobian Descent for Multi-Objective Optimization
78. NeurIPS 2026Justitia: Fair and Efficient Scheduling of Task-parallel LLM Agents with Selective Pampering
79. NeurIPS 2026Learning from Ranking Feedback: Improved Regret Bounds via Independence Preserving Rank Breaking
80. NeurIPS 2026Learning Unbiased Permutations via Flow Matching
81. NeurIPS 2026Likelihood-free inference of phylogenetic tree posterior distributions
82. NeurIPS 2026Local Policy Manifolds for Efficient Multi-Objective Reinforcement Learning
83. NeurIPS 2026Lyapunov-Driven Optimistic Learning for Online Scheduling with Multi-Stage Tasks
84. NeurIPS 2026MAdam: Metric-Aware Multi-Objective Adam
85. NeurIPS 2026MAGE: Towards Generalizable Multi-timescale EEG Representations
86. NeurIPS 2026MANGO:Multi-Angle Neural Gated Operators for Chirp-Perturbed PDEs
87. NeurIPS 2026Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems
88. NeurIPS 2026Markov Metrical Task Systems
89. NeurIPS 2026MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models
90. NeurIPS 2026MC-H: Multi-Granularity Clustering with Hyperspherical Determinantal Point Process
91. NeurIPS 2026MC$^2$Mark: Distortion-Free Multi-Bit Watermarking for Long Messages
92. NeurIPS 2026MCAS: Signal-Processing-Based Multi-View Contrastive Learning for Acoustic Sensing
93. NeurIPS 2026MCPHunt: An Evaluation Framework for Cross-Boundary Data Propagation in Multi-Server MCP Agents
94. NeurIPS 2026Measuring AI Agents' Progress on Multi-Step Cyber Attack Scenarios
95. NeurIPS 2026MemTailor: Hierarchical Memory-Augmented Multi-Expert Learning for Long-Tailed Recognition
96. NeurIPS 2026Mitigating Reward Hacking via Task Representations
97. NeurIPS 2026MLLM Makes Strong Backbone for Multi-Modal Object Detection
98. NeurIPS 2026MOBO-CAPS: Multi-objective Bayesian Optimization with Cardinality-Aware Pareto Selection
99. NeurIPS 2026Models Recall What They Violate: Constraint Adherence in Multi-Turn LLM Ideation
100. NeurIPS 2026MODULE: A Mutual-Promoting Deep Unfolding Framework Towards Degradation-Robust Multi-modal Image Fusion

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.