Multi-Task Learning papers, 2023–2026

Key findings

• Multi-Task Learning went from 288 papers in 2023 to 402 in 2026, roughly 1.4x in three years.
• NeurIPS publishes the most Multi-Task Learning work: 399 papers from 2023 to 2026, 34% of the four-venue total.
• The fastest-growing overlap is with Datasets and Benchmarks: papers tagged with both rose from 6 in 2023 to 16 in 2026.
• Among the 5 topics under Meta-Learning and Transfer, it ranks #2 by 2026 paper count; the fastest grower in the group, Foundation Model Adaptation, is up 3.8x versus 1.4x 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 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotation
• ICLR 2026Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?
• CVPR 20263D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding
• 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 2025CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
• 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 2024Class Incremental Learning via Likelihood Ratio Based Task Prediction
• CVPR 2024Differentiable Information Bottleneck for Deterministic Multi-view Clustering
• NeurIPS 2023A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
• ICML 2023A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
• 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 2026Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization
• CVPR 2026Any Resolution Any Geometry From Multi-View To Multi-Patch

All Multi-Task Learning papers

399 papers, page 7 of 8

301. NeurIPS 2023Bandit Task Assignment with Unknown Processing Time
302. NeurIPS 2023BanditPAM++: Faster $k$-medoids Clustering
303. NeurIPS 2023CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes
304. NeurIPS 2023Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
305. NeurIPS 2023Chatting Makes Perfect: Chat-based Image Retrieval
306. NeurIPS 2023Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning
307. NeurIPS 2023CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations
308. NeurIPS 2023Connecting Multi-modal Contrastive Representations
309. NeurIPS 2023Conservative Offline Policy Adaptation in Multi-Agent Games
310. NeurIPS 2023Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
311. NeurIPS 2023Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
312. NeurIPS 2023DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
313. NeurIPS 2023Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning
314. NeurIPS 2023Deep Momentum Multi-Marginal Schrödinger Bridge
315. NeurIPS 2023Demystifying the Optimal Performance of Multi-Class Classification
316. NeurIPS 2023DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
317. NeurIPS 2023Diffused Task-Agnostic Milestone Planner
318. NeurIPS 2023Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
319. NeurIPS 2023Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
320. NeurIPS 2023Elastic Decision Transformer
321. NeurIPS 2023Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
322. NeurIPS 2023Episodic Multi-Task Learning with Heterogeneous Neural Processes
323. NeurIPS 2023Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
324. NeurIPS 2023Federated Multi-Objective Learning
325. NeurIPS 2023FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
326. NeurIPS 2023ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
327. NeurIPS 2023Generalized test utilities for long-tail performance in extreme multi-label classification
328. NeurIPS 2023Geodesic Multi-Modal Mixup for Robust Fine-Tuning
329. NeurIPS 2023Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning
330. NeurIPS 2023Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
331. NeurIPS 2023HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
332. NeurIPS 2023ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
333. NeurIPS 2023Joint Data-Task Generation for Auxiliary Learning
334. NeurIPS 2023Learning and Collusion in Multi-unit Auctions
335. NeurIPS 2023Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
336. NeurIPS 2023Learning Human Action Recognition Representations Without Real Humans
337. NeurIPS 2023Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
338. NeurIPS 2023Learning Shared Safety Constraints from Multi-task Demonstrations
339. NeurIPS 2023Learning to Modulate pre-trained Models in RL
340. NeurIPS 2023Learning to Taste: A Multimodal Wine Dataset
341. NeurIPS 2023Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
342. NeurIPS 2023Leveraging sparse and shared feature activations for disentangled representation learning
343. NeurIPS 2023Locality-Aware Generalizable Implicit Neural Representation
344. NeurIPS 2023Loss Decoupling for Task-Agnostic Continual Learning
345. NeurIPS 2023M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark
346. NeurIPS 2023Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning
347. NeurIPS 2023Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
348. NeurIPS 2023Meta-Learning Adversarial Bandit Algorithms
349. NeurIPS 2023Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
350. NeurIPS 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing

FAQ

How many Multi-Task Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,181 in total: 288 in 2023, 227 in 2024, 264 in 2025, 402 in 2026.

How many Multi-Task Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 126 Multi-Task Learning papers, versus 101 the year before.

How many Multi-Task Learning papers are at ICLR 2026?

ICLR 2026 has 57 Multi-Task Learning papers, versus 40 the year before.

How many Multi-Task Learning papers are at ICML 2026?

ICML 2026 has 91 Multi-Task Learning papers, versus 47 the year before.

How many Multi-Task Learning papers are at CVPR 2026?

CVPR 2026 has 128 Multi-Task Learning papers, versus 76 the year before.

Which conference publishes the most Multi-Task Learning papers?

NeurIPS, with 399 papers from 2023 to 2026.