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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 1301–1350 of 3687 papers

TitleStatusHype
GPT Meets Graphs and KAN Splines: Testing Novel Frameworks on Multitask Fine-Tuned GPT-2 with LoRA—0
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation—0
Copula-based conformal prediction for Multi-Target Regression—0
Gradient Adversarial Training of Neural Networks—0
Image Change Captioning by Learning From an Auxiliary Task—0
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection—0
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning—0
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning—0
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework—0
A Joint Learning Framework With BERT for Spoken Language Understanding—0
Implicit Discourse Relation Classification via Multi-Task Neural Networks—0
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks—0
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration—0
Constrained Multi-Task Learning for Automated Essay Scoring—0
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks—0
Grape Cold Hardiness Prediction via Multi-Task Learning—0
Identity-Enhanced Network for Facial Expression Recognition—0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—0
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks—0
Consistency Training of Multi-exit Architectures for Sensor Data—0
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning—0
From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition—0
Dual-Balancing for Multi-Task Learning—0
Graph Memory Networks for Molecular Activity Prediction—0
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings—0
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification—0
Graph Neural Networks in Modern AI-aided Drug Discovery—0
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification—0
Graph Representation Learning via Multi-task Knowledge Distillation—0
Cross Lingual Cross Corpus Speech Emotion Recognition—0
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism—0
G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object Detection—0
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency—0
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach—0
Grouped Adaptive Loss Weighting for Person Search—0
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework—0
Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection—0
Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images—0
Flexible Multi-task Networks by Learning Parameter Allocation—0
Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems—0
An SCMA Receiver for 6G NTN based on Multi-Task Learning—0
HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces—0
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information—0
IITP-CUNI@3C: Supervised Approaches for Citation Classification (Task A) and Citation Significance Detection (Task B)—0
Handwritten Amharic Character Recognition Using a Convolutional Neural Network—0
LiPost: Improved Content Understanding With Effective Use of Multi-task Contrastive Learning—0
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis—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