Multi-Task Learning papers, 2023–2026
Shared representations
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,181 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 111 | 43 | 52 | 82 | 288 |
| 2024 | 61 | 31 | 58 | 77 | 227 |
| 2025 | 101 | 40 | 47 | 76 | 264 |
| 2026 | 126 | 57 | 91 | 128 | 402 |
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
363 papers, page 6 of 8
- CVPR 2024Multi-Space Alignments Towards Universal LiDAR Segmentation
- CVPR 2024MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
- CVPR 2024MVCPS-NeuS: Multi-view Constrained Photometric Stereo for Neural Surface Reconstruction
- CVPR 2024NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis
- CVPR 2024OAKINK2: A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion
- CVPR 2024Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi
- CVPR 2024Prompt Highlighter: Interactive Control for Multi-Modal LLMs
- CVPR 2024Quantifying Task Priority for Multi-Task Optimization
- CVPR 2024Region-Based Representations Revisited
- CVPR 2024Rethinking Multi-view Representation Learning via Distilled Disentangling
- CVPR 2024Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
- CVPR 2024Sharingan: A Transformer Architecture for Multi-Person Gaze Following
- CVPR 2024SketchINR: A First Look into Sketches as Implicit Neural Representations
- CVPR 2024SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
- CVPR 2024SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
- CVPR 2024StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
- CVPR 2024TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
- CVPR 2024Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
- CVPR 2024Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
- CVPR 2024Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
- CVPR 2024Task-Customized Mixture of Adapters for General Image Fusion
- CVPR 2024Task-Driven Wavelets using Constrained Empirical Risk Minimization
- CVPR 2024Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
- CVPR 2024Towards Calibrated Multi-label Deep Neural Networks
- CVPR 2024Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
- CVPR 2024Towards Progressive Multi-Frequency Representation for Image Warping
- CVPR 2024Training-Free Pretrained Model Merging
- CVPR 2024TULIP: Multi-camera 3D Precision Assessment of Parkinson's Disease
- CVPR 2024Unsupervised Gaze Representation Learning from Multi-view Face Images
- CVPR 2024Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
- CVPR 2024YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
- CVPR 2023(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
- CVPR 2023A Light Touch Approach to Teaching Transformers Multi-View Geometry
- CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
- CVPR 2023Batch Model Consolidation: A Multi-Task Model Consolidation Framework
- CVPR 2023BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency
- CVPR 2023Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
- CVPR 2023Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations
- CVPR 2023Collaborative Noisy Label Cleaner: Learning Scene-Aware Trailers for Multi-Modal Highlight Detection in Movies
- CVPR 2023Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning
- CVPR 2023DF-Platter: Multi-Face Heterogeneous Deepfake Dataset
- CVPR 2023Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies
- CVPR 2023Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations
- CVPR 2023Egocentric Video Task Translation
- CVPR 2023FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
- CVPR 2023Focus on Details: Online Multi-Object Tracking With Diverse Fine-Grained Representation
- CVPR 2023GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering
- CVPR 2023Generalizable Implicit Neural Representations via Instance Pattern Composers
- CVPR 2023Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
- CVPR 2023GeoMVSNet: Learning Multi-View Stereo With Geometry Perception
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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.