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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2001–2050 of 3687 papers

TitleStatusHype
Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models—0
Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density—0
A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information—0
MLLMReID: Multimodal Large Language Model-based Person Re-identification—0
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning—0
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing—0
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning—0
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining—0
MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition—0
Towards Principled Task Grouping for Multi-Task Learning—0
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network—0
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition—0
MMTL: The Meta Multi-Task Learning for Aspect Category Sentiment Analysis—0
A Unified Framework for Structured Low-rank Matrix Learning—0
A Conceptual Framework for Lifelong Learning—0
Mobility-aware Content Preference Learning in Decentralized Caching Networks—0
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising—0
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology—0
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks—0
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance—0
Model-driven Heart Rate Estimation and Heart Murmur Detection based on Phonocardiogram—0
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity—0
Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions—0
Modeling Long Context for Task-Oriented Dialogue State Generation—0
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation—0
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion—0
Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanism—0
Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings—0
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS—0
Modeling Social Norms Evolution for Personalized Sentiment Classification—0
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning—0
A Unified Architecture for Semantic Role Labeling and Relation Classification—0
Modeling with Recurrent Neural Networks for Open Vocabulary Slots—0
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation—0
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications—0
Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation—0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
Model Transfer with Explicit Knowledge of the Relation between Class Definitions—0
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information—0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners—0
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners—0
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning—0
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data—0
A Unified Approach to Kinship Verification—0
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty—0
Audio-Visual Speech Inpainting with Deep Learning—0
MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning—0
Adaptive Weight Assignment Scheme For Multi-task Learning—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