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 2451–2500 of 3687 papers

TitleStatusHype
Learning to Sketch with Shortcut Cycle Consistency—0
Learning to Teach Fairness-aware Deep Multi-task Learning—0
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection—0
Learning to Transfer via Modelling Multi-level Task Dependency—0
Learning to Walk in the Real World with Minimal Human Effort—0
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs—0
Learning weakly supervised multimodal phoneme embeddings—0
Learning What to Share: Leaky Multi-Task Network for Text Classification—0
Learning With Privileged Tasks—0
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning—0
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images—0
Let the Model Decide its Curriculum for Multitask Learning—0
Let the Model Decide its Curriculum for Multitask Learning—0
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning—0
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims—0
Leveraging Large Language Model-based Room-Object Relationships Knowledge for Enhancing Multimodal-Input Object Goal Navigation—0
Leveraging Medical Visual Question Answering with Supporting Facts—0
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks—0
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment—0
Leveraging Non-Conversational Tasks for Low Resource Slot Filling: Does it help?—0
Leveraging Orthographic Similarity for Multilingual Neural Transliteration—0
Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification—0
Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition—0
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant—0
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation—0
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