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 2151–2175 of 3687 papers

TitleStatusHype
Towards Invariant Soft Biometrics from Electrocardiograms—0
Towards Language-Universal End-to-End Speech Recognition—0
Towards Multi-Modal Mastery: A 4.5B Parameter Truly Multi-Modal Small Language Model—0
Towards Principled Task Grouping for Multi-Task Learning—0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data—0
Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning—0
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking—0
Towards Transparent and Accurate Plasma State Monitoring at JET—0
Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons—0
Towards Unification of Discourse Annotation Frameworks—0
Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling—0
Towards Unified Prompt Tuning for Few-shot Learning—0
Towards Unified Prompt Tuning for Few-shot Text Classification—0
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond—0
Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network—0
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning—0
TRACE: Transformer-based user Representations from Attributed Clickstream Event sequences—0
Traffic Sign Interpretation in Real Road Scene—0
Auxiliary Learning for Deep Multi-task Learning—0
Training ELECTRA Augmented with Multi-word Selection—0
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation—0
Training Medical Image Analysis Systems like Radiologists—0
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings—0
MIMT: Multi-Illuminant Color Constancy via Multi-Task Local Surface and Light Color Learning—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