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

Showing 13511400 of 3687 papers

TitleStatusHype
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation0
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature SharingCode0
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding0
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed VideosCode1
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge0
Ask Question First for Enhancing Lifelong Language LearningCode0
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization0
Multi-task Active Learning for Pre-trained Transformer-based ModelsCode0
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues0
DeepHider: A Covert NLP Watermarking Framework Based on Multi-task Learning0
Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems0
Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit0
Bias Reducing Multitask Learning on Mental Health Prediction0
Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose EstimationCode1
A Game-Theoretic Perspective of Generalization in Reinforcement Learning0
Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems0
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning0
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning0
Curvature-informed multi-task learning for graph networks0
On the Limitations of Sociodemographic Adaptation with TransformersCode0
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning0
SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation0
Portrait Interpretation and a Benchmark0
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach0
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge0
An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task LearningCode0
Multi-Task Learning for Depression Detection in DialogsCode1
UFO: Unified Feature OptimizationCode1
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing0
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention0
Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge0
Hybrid CNN-Transformer Model For Facial Affect Recognition In the ABAW4 Challenge0
GenHPF: General Healthcare Predictive Framework with Multi-task Multi-source LearningCode1
Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning ChallengesCode0
Learning from Synthetic Data: Facial Expression Classification based on Ensemble of Multi-task Networks0
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect EstimationCode1
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images0
Multi-Task Learning Framework for Emotion Recognition in-the-wildCode0
SS-MFAR : Semi-supervised Multi-task Facial Affect RecognitionCode0
WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification0
AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify0
Multi-Task and Transfer Learning for Federated Learning Applications0
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection0
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
Learning Flexible Translation between Robot Actions and Language Descriptions0
Federated Multi-Task Learning for THz Wideband Channel and DoA Estimation0
Multi-Camera View Based Proactive BS Selection and Beam Switching for V2X0
Learning to Estimate External Forces of Human Motion in VideoCode1
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks0
A Large Scale Search Dataset for Unbiased Learning to RankCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified