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 3076–3100 of 3687 papers

TitleStatusHype
Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task LearningCode0
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain AdaptationCode0
Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word EmbeddingsCode0
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature SharingCode0
An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task LearningCode0
Multi-Task Learning with Group-Specific Feature Space SharingCode0
Instruction Tuned Models are Quick LearnersCode0
Learning End-to-end Autonomous Driving using Guided Auxiliary SupervisionCode0
REG: Refined Generalized Focal Loss for Road Asset Detection on Thai Highways Using Vision-Based Detection and Segmentation ModelsCode0
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic TasksCode0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
Building a Dialogue Corpus Annotated with Expressed and Experienced EmotionsCode0
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow RemovalCode0
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View SynthesisCode0
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and RobustnessCode0
Multi-task Learning for Influence Estimation and MaximizationCode0
Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument soundsCode0
Learning Gating ConvNet for Two-Stream based Methods in Action RecognitionCode0
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation NetworkCode0
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task LearningCode0
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role LabelingCode0
How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning -- an Exact Macroscopic CharacterizationCode0
STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence RetrievalCode0
Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image RecognitionCode0
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer TranscriptomeCode0
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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