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

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Showing 1501–1550 of 3687 papers

TitleStatusHype
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding—0
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity DetectionCode0
Parameter-efficient Modularised Bias Mitigation via AdapterFusionCode0
Less is More: Selective Layer Finetuning with SubTuningCode0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
Multi-Task Deep Recommender Systems: A Survey—0
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary TasksCode0
Multi-Task Self-Supervised Learning for Image Segmentation Task—0
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property PredictionCode0
Multi-Task Learning for Screen Content Image CodingCode0
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning—0
HeroNet: A Hybrid Retrieval-Generation Network for Conversational BotsCode0
Multi-task Highly Adaptive Lasso—0
Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification—0
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary StudyCode0
Regularizing disparity estimation via multi task learning with structured light reconstruction—0
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning—0
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation GeneralizationCode0
"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning—0
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations—0
Anaphora Resolution in Dialogue: System Description (CODI-CRAC 2022 Shared Task)—0
L-HYDRA: Multi-Head Physics-Informed Neural NetworksCode0
Topic Segmentation Model Focusing on Local Context—0
Multi-Task Learning for Budbreak Prediction—0
Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems—0
Multi-Task Learning with Prior Information—0
Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios—0
PMT-IQA: Progressive Multi-task Learning for Blind Image Quality AssessmentCode0
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different DatasetsCode0
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners—0
SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing—0
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation—0
Achievement-Based Training Progress Balancing for Multi-Task LearningCode0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
Masked Representation Learning for Domain Generalized Stereo Matching—0
Hierarchical Prompt Learning for Multi-Task Learning—0
CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision—0
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network—0
FedICT: Federated Multi-task Distillation for Multi-access Edge ComputingCode0
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts—0
Multi-Label Compound Expression Recognition: C-EXPR Database & Network—0
Reconciling Object-Level and Global-Level Objectives for Long-Tail DetectionCode0
Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once—0
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)—0
A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific—0
Personalized Decentralized Multi-Task Learning Over Dynamic Communication Graphs—0
MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning—0
Positive-incentive Noise—0
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations—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