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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 76–100 of 3687 papers

TitleStatusHype
Non-Contact Health Monitoring During Daily Personal Care RoutinesCode1
StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic DatasetsCode1
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
Prot2Token: A Unified Framework for Protein Modeling via Next-Token PredictionCode1
Hierarchical Document Refinement for Long-context Retrieval-augmented GenerationCode1
MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving PerceptionCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
VADMamba: Exploring State Space Models for Fast Video Anomaly DetectionCode1
PAVE: Patching and Adapting Video Large Language ModelsCode1
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous DrivingCode1
REF-VLM: Triplet-Based Referring Paradigm for Unified Visual DecodingCode1
Zero-AVSR: Zero-Shot Audio-Visual Speech Recognition with LLMs by Learning Language-Agnostic Speech RepresentationsCode1
UnPuzzle: A Unified Framework for Pathology Image AnalysisCode1
R-LoRA: Random Initialization of Multi-Head LoRA for Multi-Task LearningCode1
LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy ControlCode1
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic TransformationsCode1
A Multi-Task Learning Approach to Linear Multivariate ForecastingCode1
Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationCode1
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential RecommendationCode1
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech RepresentationCode1
TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry OperationsCode1
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous LearningCode1
Modeling Multi-Task Model Merging as Adaptive Projective Gradient DescentCode1
STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy LearningCode1
Revisiting Weight Averaging for Model MergingCode1
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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