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 1476–1500 of 3687 papers

TitleStatusHype
Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization—0
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users—0
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations—0
A Mixed Learning Objective for Neural Machine Translation—0
Improving Dual-Microphone Speech Enhancement by Learning Cross-Channel Features with Multi-Head Attention—0
Improving EEG Decoding via Clustering-based Multi-task Feature Learning—0
Finger-UNet: A U-Net based Multi-Task Architecture for Deep Fingerprint Enhancement—0
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest—0
A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition—0
Improving Few-Shot Part Segmentation using Coarse Supervision—0
Deep Automated Multi-task Learning—0
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation—0
Improving Image Captioning with Better Use of Caption—0
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility—0
Improving Interpretability of Word Embeddings by Generating Definition and Usage—0
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space—0
Improving label efficiency through multi-task learning on auditory data—0
Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information—0
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model—0
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity—0
Improving Multi-Task Generalization via Regularizing Spurious Correlation—0
Exploring Query Understanding for Amazon Product Search—0
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?—0
Show:102550
← PrevPage 60 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