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 3601–3625 of 3687 papers

TitleStatusHype
Learning Representations for Text-level Discourse Parsing—0
Matrix and Tensor Factorization Methods for Natural Language Processing—0
Baidu Translate: Research and Products—0
Question Answering over Freebase with Multi-Column Convolutional Neural Networks—0
A Refined End-to-End Discourse Parser—0
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis—0
Learning Multiple Tasks with Multilinear Relationship Networks—0
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition—0
Lifelong Machine Learning for Topic Modeling and Beyond—0
Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection—0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation—0
Classifying Tweet Level Judgements of Rumours in Social Media—0
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification—0
Automatically Scoring Freshman Writing: A Preliminary Investigation—0
Deeply Learned Attributes for Crowded Scene Understanding—0
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis—0
Multi-task additive models with shared transfer functions based on dictionary learning—0
Multi-Task Word Alignment Triangulation for Low-Resource Languages—0
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval—0
Learning Multiple Visual Tasks while Discovering their Structure—0
Convex Learning of Multiple Tasks and their StructureCode0
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings—0
A Unified Perspective on Multi-Domain and Multi-Task Learning—0
Deep Structured Output Learning for Unconstrained Text Recognition—0
Curriculum Learning of Multiple Tasks—0
Show:102550
← PrevPage 145 of 148Next →
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