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 376400 of 3687 papers

TitleStatusHype
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