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 2901–2925 of 3687 papers

TitleStatusHype
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models—0
Universal Sentence Encoder for English—0
Universal Speaker Embedding Free Target Speaker Extraction and Personal Voice Activity Detection—0
Rethinking Hard-Parameter Sharing in Multi-Domain Learning—0
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions—0
Rethinking Rehearsal in Lifelong Learning: Does An Example Contribute the Plasticity or Stability?—0
A multi-task deep learning model for the classification of Age-related Macular Degeneration—0
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering—0
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension—0
Retrofitting Structure-aware Transformer Language Model for End Tasks—0
RetroMotion: Retrocausal Motion Forecasting Models are Instructable—0
Reusing Preprocessing Data as Auxiliary Supervision in Conversational Analysis—0
Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection—0
Reverse Thinking Makes LLMs Stronger Reasoners—0
Multi-Task Learning of Generalizable Representations for Video Action Recognition—0
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction—0
A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity—0
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions—0
UniZero: Generalized and Efficient Planning with Scalable Latent World Models—0
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective—0
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Unlocking the Potential: Multi-task Deep Learning for Spaceborne Quantitative Monitoring of Fugitive Methane Plumes—0
Re-weighting Negative Samples for Model-Agnostic Matching—0
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction—0
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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