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

Showing 351400 of 3687 papers

TitleStatusHype
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep LearningCode1
Dataless Knowledge Fusion by Merging Weights of Language ModelsCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
DaWin: Training-free Dynamic Weight Interpolation for Robust AdaptationCode1
Allophant: Cross-lingual Phoneme Recognition with Articulatory AttributesCode1
Leveraging speaker attribute information using multi task learning for speaker verification and diarizationCode1
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation RecognitionCode1
Line Segment Detection Using Transformers without EdgesCode1
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in RecommendationsCode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task LearningCode1
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning FrameworkCode1
Global-Reasoned Multi-Task Learning Model for Surgical Scene UnderstandingCode1
Deep Learning for Automatic Pneumonia DetectionCode1
Deep Homography Estimation for Dynamic ScenesCode1
AdaMerging: Adaptive Model Merging for Multi-Task LearningCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and SummarizationCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine LearningCode1
Meta-Adaptive Nonlinear Control: Theory and AlgorithmsCode1
DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of ExpertsCode1
MetaICL: Learning to Learn In ContextCode1
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual ModelsCode1
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect EstimationCode1
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic ControlCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal LearningCode1
Denoising Task Routing for Diffusion ModelsCode1
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense PredictionCode1
GaitFormer: Learning Gait Representations with Noisy Multi-Task LearningCode1
End-to-End Multi-Task Learning with AttentionCode1
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic EnvironmentsCode1
AV-RIR: Audio-Visual Room Impulse Response EstimationCode1
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic TransformationsCode1
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical ApplicationsCode1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution CorrectionCode1
Molecular Representation Learning via Heterogeneous Motif Graph Neural NetworksCode1
A Multi-Task Deep Learning Framework for Building Footprint SegmentationCode1
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agentCode1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment AnalysisCode1
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision TreesCode1
Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and MethodCode1
MTL-LoRA: Low-Rank Adaptation for Multi-Task LearningCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
AutoMTL: A Programming Framework for Automating Efficient Multi-Task LearningCode1
A Multi-task Framework for Infrared Small Target Detection and SegmentationCode1
Florence-2: Advancing a Unified Representation for a Variety of Vision TasksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified