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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

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Showing 2201–2250 of 3687 papers

TitleStatusHype
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning—0
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling—0
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems—0
TUPA at MRP 2019: A Multi-Task Baseline System—0
TUTORING: Instruction-Grounded Conversational Agent for Language Learners—0
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning—0
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge—0
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling—0
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence—0
Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition—0
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images—0
A Two-Stage Learning-to-Defer Approach for Multi-Task Learning—0
Two-Stream Multi-Task Network for Fashion Recognition—0
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection—0
Uncertainty-Aware Explainable Recommendation with Large Language Models—0
Uncertainty Regularized Multi-Task Learning—0
Uncovering the Corona Virus Map Using Deep Entities and Relationship Models—0
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning—0
Understanding and Improving Information Transfer in Multi-Task Learning—0
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder—0
Understanding Auditory Evoked Brain Signal via Physics-informed Embedding Network with Multi-Task Transformer—0
Understanding Emotion Valence is a Joint Deep Learning Task—0
Understanding Few-Shot Multi-Task Representation Learning Theory—0
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task—0
Understanding Impacts of Task Similarity on Backdoor Attack and Detection—0
Understand the dynamics of GANs via Primal-Dual Optimization—0
UniCoder: Scaling Code Large Language Model via Universal Code—0
UniDual: A Unified Model for Image and Video Understanding—0
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise—0
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning—0
Unified Detection of Digital and Physical Face Attacks—0
Unified Multi-Criteria Chinese Word Segmentation with BERT—0
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder—0
Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing—0
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation—0
Unified Speech-Text Pre-training for Speech Translation and Recognition—0
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition—0
Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning—0
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions—0
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives—0
Unifying Question Answering, Text Classification, and Regression via Span Extraction—0
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening—0
Unifying the Discrete and Continuous Emotion labels for Speech Emotion Recognition—0
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules—0
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing—0
UniRQR: A Unified Model for Retrieval Decision, Query, and Response Generation in Internet-Based Knowledge Dialogue Systems—0
Universal Sentence Encoder for English—0
Universal Speaker Embedding Free Target Speaker Extraction and Personal Voice Activity Detection—0
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions—0
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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