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

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Showing 201–250 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
Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features—0
Tint Your Models Task-wise for Improved Multi-task Model MergingCode0
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
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Heterogeneous transfer learning for high dimensional regression with feature mismatch—0
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
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning—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
DARWIN 1.5: Large Language Models as Materials Science Adapted LearnersCode3
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps—0
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models—0
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective OptimizationCode0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning—0
WiFo: Wireless Foundation Model for Channel Prediction—0
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning—0
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning—0
Revisiting Weight Averaging for Model MergingCode1
Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AICode0
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning—0
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior GraphsCode1
ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising—0
Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models—0
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism—0
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances—0
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks—0
Large Language Models for Ingredient Substitution in Food Recipes using Supervised Fine-tuning and Direct Preference OptimizationCode0
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents—0
MT3DNet: Multi-Task learning Network for 3D Surgical Scene Reconstruction—0
Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis—0
Optimizing Dense Visual Predictions Through Multi-Task Coherence and PrioritizationCode0
Diffusion-based Visual Anagram as Multi-task LearningCode2
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis—0
Multi-objective Deep Learning: Taxonomy and Survey of the State of the ArtCode0
PROFIT: A Specialized Optimizer for Deep Fine Tuning—0
Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis—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