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Multi-Task Learning

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

( Image credit: Cross-stitch Networks for Multi-task Learning )

Papers

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Showing 1–50 of 3687 papers

TitleStatusHype
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and ApplicationsCode9
Arcee's MergeKit: A Toolkit for Merging Large Language ModelsCode9
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and BeyondCode7
VITA: Towards Open-Source Interactive Omni Multimodal LLMCode7
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningCode7
MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter ExpertsCode5
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task LearningCode5
YOLOR-Based Multi-Task LearningCode5
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesCode4
CoBa: Convergence Balancer for Multitask Finetuning of Large Language ModelsCode4
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language TasksCode4
InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningCode4
DocRes: A Generalist Model Toward Unifying Document Image Restoration TasksCode4
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-ExpertsCode3
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of ExpertsCode3
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization PerspectiveCode3
Ludwig: a type-based declarative deep learning toolboxCode3
ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingCode3
YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem AugmentationCode3
Language Models are Few-Shot LearnersCode3
Zero-shot Entity Linking with Less DataCode3
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's nextCode3
PETRv2: A Unified Framework for 3D Perception from Multi-Camera ImagesCode3
DARWIN 1.5: Large Language Models as Materials Science Adapted LearnersCode3
Relational Multi-Task Learning: Modeling Relations between Data and TasksCode3
UCF: Uncovering Common Features for Generalizable Deepfake DetectionCode3
Multi-Task Learning as Multi-Objective OptimizationCode2
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task LearningCode2
MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task LearningCode2
Multi-Task Learning as a Bargaining GameCode2
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale AttentionCode2
MFTCoder: Boosting Code LLMs with Multitask Fine-TuningCode2
MAGVIT: Masked Generative Video TransformerCode2
Measuring Massive Multitask Language UnderstandingCode2
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display AdvertisingCode2
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG SignalsCode2
LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake DetectionCode2
In-BoXBART: Get Instructions into Biomedical Multi-Task LearningCode2
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene UnderstandingCode2
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning BenchmarksCode2
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term ExtractionCode2
GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual GroundingCode2
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene UnderstandingCode2
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPTCode2
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth EstimationCode2
Joint Perception and Prediction for Autonomous Driving: A SurveyCode2
EGTR: Extracting Graph from Transformer for Scene Graph GenerationCode2
ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningCode2
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement LearningCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
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All datasetsQM9Cityscapes testNYUv2OMNIGLOTCelebAUTKFacewireframe dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7—Unverified
2CAGrad∆m%112.8—Unverified
3IMTL-G∆m%77.2—Unverified
4Nash-MTL∆m%62—Unverified
5BayesAgg-MTL∆m%53.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41—Unverified
2Nash-MTLmIoU75.41—Unverified
3MultiObjectiveOptimizationmIoU66.63—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14—Unverified
2Nash-MTLMean IoU40.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52—Unverified
2Mixture-of-ExpertsAverage Accuracy92.19—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3—Unverified