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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 751–775 of 3687 papers

TitleStatusHype
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
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression RecognitionCode0
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks—0
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
Data-Driven Fairness Generalization for Deepfake Detection—0
Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage ModelCode0
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling—0
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning—0
Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning—0
Multi-task Representation Learning for Mixed Integer Linear ProgrammingCode0
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
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
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective OptimizationCode0
WiFo: Wireless Foundation Model for Channel Prediction—0
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning—0
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning—0
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning—0
Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AICode0
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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