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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 1251–1300 of 3687 papers

TitleStatusHype
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring—0
SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation—0
Semantic SuperPoint: A Deep Semantic DescriptorCode1
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5Code0
Unifying the Discrete and Continuous Emotion labels for Speech Emotion Recognition—0
TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer—0
Teacher-Student Architecture for Knowledge Learning: A Survey—0
Improved Feature Distillation via Projector EnsembleCode1
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task LearningCode1
Multi-task Bias-Variance Trade-off Through Functional Constraints—0
Discourse-Aware Emotion Cause Extraction in Conversations—0
Analyzing Multi-Task Learning for Abstractive Text SummarizationCode1
M^3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-designCode1
Is Multi-Task Learning an Upper Bound for Continual Learning?—0
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic ApproachCode1
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance—0
Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared ParametersCode0
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning—0
Continued Pretraining for Better Zero- and Few-Shot PromptabilityCode1
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction—0
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task modelsCode1
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal SupervisionCode0
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in FinanceCode1
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark—0
Watermarking Pre-trained Language Models with Backdooring—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Multi-Task Learning for Joint Semantic Role and Proto-Role Labeling—0
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of TransformersCode0
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation RecognitionCode0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
Composite Learning for Robust and Effective Dense Predictions—0
Explanations from Large Language Models Make Small Reasoners Better—0
Instruction Tuning for Few-Shot Aspect-Based Sentiment AnalysisCode1
Understanding Impacts of Task Similarity on Backdoor Attack and Detection—0
Semantic Cross Attention for Few-shot LearningCode0
Optimizing Evaluation Metrics for Multi-Task Learning via the Alternating Direction Method of Multipliers—0
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided DecodingCode0
Task Compass: Scaling Multi-task Pre-training with Task PrefixCode1
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based ApproachCode1
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
Visually Similar Products Retrieval for Shopsy—0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
Improving End-to-End Text Image Translation From the Auxiliary Text Translation TaskCode0
Multi-Task Dynamical SystemsCode0
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models—0
GRANITE: A Graph Neural Network Model for Basic Block Throughput EstimationCode1
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentationCode0
A Unified Framework for Multi-intent Spoken Language Understanding with promptingCode0
Causal Inference for Chatting HandoffCode1
Depth Is All You Need for Monocular 3D Detection—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