SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 3687 papers

TitleStatusHype
PEvoLM: Protein Sequence Evolutionary Information Language ModelCode1
STEM: Unleashing the Power of Embeddings for Multi-task RecommendationCode1
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security AnalysisCode1
Parallel Knowledge Enhancement based Framework for Multi-behavior RecommendationCode1
Improvable Gap Balancing for Multi-Task LearningCode1
Prompt Guided Transformer for Multi-Task Dense PredictionCode1
Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report GenerationCode1
TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei SegmentationCode1
Noise-aware Speech Enhancement using Diffusion Probabilistic ModelCode1
Hyperspherical Embedding for Point Cloud CompletionCode1
Precursor-of-Anomaly Detection for Irregular Time SeriesCode1
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous DatasetsCode1
Multi-task Learning for Radar Signal CharacterisationCode1
MOFI: Learning Image Representations from Noisy Entity Annotated ImagesCode1
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference LearningCode1
Allophant: Cross-lingual Phoneme Recognition with Articulatory AttributesCode1
Learning to Relate to Previous Turns in Conversational SearchCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and HearCode1
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-ExpertsCode1
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text TranslationCode1
Multi-task Hierarchical Adversarial Inverse Reinforcement LearningCode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
Understanding and Bridging the Modality Gap for Speech TranslationCode1
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous drivingCode1
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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