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 1676–1700 of 3687 papers

TitleStatusHype
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature SharingCode0
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding—0
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge—0
Ask Question First for Enhancing Lifelong Language LearningCode0
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization—0
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues—0
Multi-task Active Learning for Pre-trained Transformer-based ModelsCode0
Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit—0
DeepHider: A Covert NLP Watermarking Framework Based on Multi-task Learning—0
Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems—0
Bias Reducing Multitask Learning on Mental Health Prediction—0
A Game-Theoretic Perspective of Generalization in Reinforcement Learning—0
Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems—0
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning—0
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning—0
Curvature-informed multi-task learning for graph networks—0
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning—0
On the Limitations of Sociodemographic Adaptation with TransformersCode0
SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation—0
Portrait Interpretation and a Benchmark—0
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach—0
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge—0
An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task LearningCode0
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing—0
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention—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