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 2476–2500 of 3687 papers

TitleStatusHype
LibMTL: A Python Library for Multi-Task Learning—0
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving—0
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception—0
Lifelong Machine Learning for Topic Modeling and Beyond—0
Lifelong Reinforcement Learning via Neuromodulation—0
Lifelong Robotic Reinforcement Learning by Retaining Experiences—0
LIMIT-BERT : Linguistic Informed Multi-Task BERT—0
LIMT: Language-Informed Multi-Task Visual World Models—0
Linguistically-Informed Self-Attention for Semantic Role Labeling—0
Linguistic representations in multi-task neural networks for ellipsis resolution—0
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements—0
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection—0
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes—0
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning—0
LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation—0
LMHLD: A Large-scale Multi-source High-resolution Landslide Dataset for Landslide Detection based on Deep Learning—0
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding—0
Local-Global Information Interaction Debiasing for Dynamic Scene Graph Generation—0
Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach—0
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning—0
Location-Centered House Price Prediction: A Multi-Task Learning Approach—0
Location-guided Head Pose Estimation for Fisheye Image—0
Logically Consistent Loss for Visual Question Answering—0
Incorporating VAD into ASR System by Multi-task Learning—0
LordBERT: Embedding Long Text by Segment Ordering with BERT—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