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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 976–1000 of 3687 papers

TitleStatusHype
Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory—0
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN—0
Scaling Manipulation Learning with Visual Kinematic Chain PredictionCode0
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance AnalysisCode0
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection—0
PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation—0
Accent Conversion with Articulatory Representations—0
A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation—0
The Database and Benchmark for the Source Speaker Tracing Challenge 2024—0
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning—0
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment—0
Quantifying Task Priority for Multi-Task Optimization—0
Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learningCode0
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese—0
Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems—0
Understanding Auditory Evoked Brain Signal via Physics-informed Embedding Network with Multi-Task Transformer—0
Multi-Task Learning for Arousal and Sleep Stage Detection Using Fully Convolutional Networks—0
Generalized Jersey Number Recognition Using Multi-task Learning With Orientation-guided Weight Refinement—0
A Survey of Generative Information RetrievalCode0
Robust Multi-Modal Speech In-Painting: A Sequence-to-Sequence Approach—0
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning—0
Non-Federated Multi-Task Split Learning for Heterogeneous Sources—0
SLM as Guardian: Pioneering AI Safety with Small Language Models—0
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension—0
MGDA Converges under Generalized Smoothness, Provably—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