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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

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Showing 1001–1050 of 3687 papers

TitleStatusHype
Egocentric Audio-Visual Noise Suppression—0
Egocentric Video Task Translation—0
Audio Tagging by Cross Filtering Noisy Labels—0
AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification—0
Bridging Resolution: Making Sense of the State of the Art—0
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration—0
Deepfake Detection via Knowledge Injection—0
FedGradNorm: Personalized Federated Gradient-Normalized Multi-Task Learning—0
Embedding Label Structures for Fine-Grained Feature Representation—0
Embedding Structured Dictionary Entries—0
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event—0
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation—0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems—0
Bringing Semantic Structures to User Intent Detection in Online Medical Queries—0
Data-Driven Fairness Generalization for Deepfake Detection—0
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain—0
Aerodynamic Data Predictions Based on Multi-task Learning—0
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges—0
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique—0
A Two-Stage Neural-Filter Pareto Front Extractor and the need for Benchmarking—0
Deep Estimation of Speckle Statistics Parametric Images—0
An Attention-Driven Approach of No-Reference Image Quality Assessment—0
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning—0
Deep Elastic Networks with Model Selection for Multi-Task Learning—0
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images—0
MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models—0
3D Instance Segmentation via Multi-Task Metric Learning—0
FedNILM: Applying Federated Learning to NILM Applications at the Edge—0
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
Attentive max feature map and joint training for acoustic scene classification—0
A Modular-based Strategy for Mitigating Gradient Conflicts in Simultaneous Speech Translation—0
Addressing Negative Transfer in Diffusion Models—0
Deep Clustering and Conventional Networks for Music Separation: Stronger Together—0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT—0
Federated Multi-Task Learning for THz Wideband Channel and DoA Estimation—0
Attention-based Multi-task Learning for Base Editor Outcome Prediction—0
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power—0
AMMSM: Adaptive Motion Magnification and Sparse Mamba for Micro-Expression Recognition—0
Federated Multi-Objective Learning—0
Deep Automated Multi-task Learning—0
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications—0
Attention-based Multi-task Learning for Base Editor Outcome Prediction—0
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images—0
A Mixed Learning Objective for Neural Machine Translation—0
A Benchmark for Federated Hetero-Task Learning—0
When MAML Can Adapt Fast and How to Assist When It Cannot—0
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning—0
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing—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