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

1,440 papers, page 20 of 29

951. CVPR 2024Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
952. CVPR 2024Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
953. CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
954. CVPR 2024Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
955. CVPR 2024S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
956. CVPR 2024Sharingan: A Transformer Architecture for Multi-Person Gaze Following
957. CVPR 2024SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
958. CVPR 2024StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
959. CVPR 2024SuperNormal: Neural Surface Reconstruction via Multi-View Normal Integration
960. CVPR 2024Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
961. CVPR 2024Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
962. CVPR 2024Task-Driven Wavelets using Constrained Empirical Risk Minimization
963. CVPR 2024Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
964. CVPR 2024Towards Calibrated Multi-label Deep Neural Networks
965. CVPR 2024Towards Generalizable Multi-Object Tracking
966. CVPR 2024Towards Progressive Multi-Frequency Representation for Image Warping
967. CVPR 2024Training-Free Pretrained Model Merging
968. CVPR 2024TULIP: Multi-camera 3D Precision Assessment of Parkinson's Disease
969. CVPR 2024View-Category Interactive Sharing Transformer for Incomplete Multi-View Multi-Label Learning
970. CVPR 2024Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
971. CVPR 2024Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
972. CVPR 2024Wired Perspectives: Multi-View Wire Art Embraces Generative AI
973. CVPR 2024YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
974. ICLR 2024A Multi-Level Framework for Accelerating Training Transformer Models
975. ICLR 2024A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
976. ICLR 2024AdaMerging: Adaptive Model Merging for Multi-Task Learning
977. ICLR 2024Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
978. ICLR 2024Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
979. ICLR 2024Class Incremental Learning via Likelihood Ratio Based Task Prediction
980. ICLR 2024Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
981. ICLR 2024Consistent algorithms for multi-label classification with macro-at-$k$ metrics
982. ICLR 2024Controlling Vision-Language Models for Multi-Task Image Restoration
983. ICLR 2024Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
984. ICLR 2024Denoising Task Routing for Diffusion Models
985. ICLR 2024Diffusion Models for Multi-Task Generative Modeling
986. ICLR 2024DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
987. ICLR 2024Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
988. ICLR 2024From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
989. ICLR 2024GenSim: Generating Robotic Simulation Tasks via Large Language Models
990. ICLR 2024Hybrid Sharing for Multi-Label Image Classification
991. ICLR 2024InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
992. ICLR 2024Interpretable Meta-Learning of Physical Systems
993. ICLR 2024Memorization Capacity of Multi-Head Attention in Transformers
994. ICLR 2024MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
995. ICLR 2024MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
996. ICLR 2024MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
997. ICLR 2024Multi-task Learning with 3D-Aware Regularization
998. ICLR 2024MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
999. ICLR 2024Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
1000. ICLR 2024On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning

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.