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 201–225 of 3687 papers

TitleStatusHype
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning—0
Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure—0
Metadata-Enhanced Speech Emotion Recognition: Augmented Residual Integration and Co-Attention in Two-Stage Fine-Tuning—0
The intrinsic motivation of reinforcement and imitation learning for sequential tasks—0
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective—0
Tint Your Models Task-wise for Improved Multi-task Model MergingCode0
Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features—0
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks—0
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression RecognitionCode0
Heterogeneous transfer learning for high dimensional regression with feature mismatch—0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt—0
Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage ModelCode0
Data-Driven Fairness Generalization for Deepfake Detection—0
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling—0
STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy LearningCode1
Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning—0
Joint Perception and Prediction for Autonomous Driving: A SurveyCode2
Multi-task Representation Learning for Mixed Integer Linear ProgrammingCode0
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning—0
Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection—0
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods—0
DARWIN 1.5: Large Language Models as Materials Science Adapted LearnersCode3
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models—0
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps—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