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

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Showing 2801–2850 of 3687 papers

TitleStatusHype
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement LearningCode2
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed—0
Deep generative model-driven multimodal prostate segmentation in radiotherapy—0
MRQA 2019 Shared Task: Evaluating Generalization in Reading ComprehensionCode0
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning—0
Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis—0
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction—0
Self-supervised Label Augmentation via Input TransformationsCode0
SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction—0
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge BaseCode0
Flexible Multi-task Networks by Learning Parameter Allocation—0
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion—0
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy ConstraintsCode0
NeurReg: Neural Registration and Its Application to Image SegmentationCode0
Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing—0
On the Detection of Digital Face ManipulationCode1
Joint Acne Image Grading and Counting via Label Distribution LearningCode0
Learning to Jointly Generate and Separate Reflections—0
MMM: Multi-stage Multi-task Learning for Multi-choice Reading ComprehensionCode0
Single-Network Whole-Body Pose EstimationCode0
Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning—0
Gated Task Interaction Framework for Multi-task Sequence TaggingCode0
Towards Real-Time Multi-Object TrackingCode2
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue—0
RLBench: The Robot Learning Benchmark & Learning EnvironmentCode0
A multi-task U-net for segmentation with lazy labels—0
Temporal Probabilistic Asymmetric Multi-task Learning—0
Gumbel-Matrix Routing for Flexible Multi-task Learning—0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head—0
Adversarial Inductive Transfer Learning with input and output space adaptation—0
Learning to Transfer via Modelling Multi-level Task Dependency—0
Multi-Dimensional Explanation of Reviews—0
Mint: Matrix-Interleaving for Multi-Task Learning—0
Task-Based Top-Down Modulation Network for Multi-Task-Learning Applications—0
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace—0
Multi-Dimensional Explanation of Target Variables from Documents—0
Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient AdaptationCode0
Handwritten Amharic Character Recognition Using a Convolutional Neural Network—0
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement LearningCode0
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection—0
Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning—0
Meta-NeighborhoodsCode0
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity—0
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant—0
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation—0
Ludwig: a type-based declarative deep learning toolboxCode3
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning—0
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation—0
Pose Neural Fabrics SearchCode0
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning—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