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 26762700 of 3687 papers

TitleStatusHype
Learning Gaussian Maps for Dense Object Detection0
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning0
CLOPS: Continual Learning of Physiological Signals0
Data Poisoning Attacks on Federated Machine Learning0
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts0
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product CategoriesCode0
Unified Multi-Criteria Chinese Word Segmentation with BERT0
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Pre-training Text Representations as Meta Learning0
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases0
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationCode0
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events0
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning0
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition0
Vocoder-Based Speech Synthesis from Silent Videos0
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas0
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles0
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection0
Distributed Primal-Dual Optimization for Online Multi-Task Learning0
Adversarial Transfer Learning for Punctuation Restoration0
Improving out-of-distribution generalization via multi-task self-supervised pretraining0
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning0
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient DescentCode0
Show:102550
← PrevPage 108 of 148Next →

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