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 2551–2600 of 3687 papers

TitleStatusHype
News Cover Assessment via Multi-task Learning—0
New Tight Relaxations of Rank Minimization for Multi-Task Learning—0
NFTs to MARS: Multi-Attention Recommender System for NFTs—0
NN-Based Joint Mitigation of IQ Imbalance and PA Nonlinearity With Multiple States—0
WiFo: Wireless Foundation Model for Channel Prediction—0
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms—0
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods—0
An Interactive Agent Foundation Model—0
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction—0
Non-Federated Multi-Task Split Learning for Heterogeneous Sources—0
Non-Linear Domain Adaptation with Boosting—0
Nonparametric Trace Regression in High Dimensions via Sign Series Representation—0
Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing—0
An Integrated Framework for Two-pass Personalized Voice Trigger—0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning—0
Normalizing Compositional Structures Across Graphbanks—0
An Extensible Multimodal Multi-task Object Dataset with Materials—0
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment—0
NOWJ at COLIEE 2023 -- Multi-Task and Ensemble Approaches in Legal Information Processing—0
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction—0
NTU\_NLP at SemEval-2020 Task 12: Identifying Offensive Tweets Using Hierarchical Multi-Task Learning Approach—0
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
Will my auxiliary tagging task help? Estimating Auxiliary Tasks Effectivity in Multi-Task Learning—0
Object-Centric Multi-Task Learning for Human Instances—0
ObjectMover: Generative Object Movement with Video Prior—0
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion—0
OccuSeg: Occupancy-aware 3D Instance Segmentation—0
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology—0
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction—0
A New Representation of Skeleton Sequences for 3D Action Recognition—0
Off-the-Shelf Unsupervised NMT—0
A New Benchmark of Aphasia Speech Recognition and Detection Based on E-Branchformer and Multi-task Learning—0
OmniArt: Multi-task Deep Learning for Artistic Data Analysis—0
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System—0
Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning—0
Channel Type Recognition in Wireless Communications: A Deep Learning Approach—0
A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization—0
On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning—0
OneDiff: A Generalist Model for Image Difference Captioning—0
One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis—0
A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing—0
SkillNet-NLU: A Sparsely Activated Model for General-Purpose Natural Language Understanding—0
One Model To Learn Them All—0
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning—0
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets—0
One Shot Joint Colocalization and Cosegmentation—0
One Size Fits All? A simple LSTM for non-literal token and construction-level classification—0
One-stage Modality Distillation for Incomplete Multimodal Learning—0
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism—0
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images—0
Show:102550
← PrevPage 52 of 74Next →
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