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 101–125 of 3687 papers

TitleStatusHype
FW-Merging: Scaling Model Merging with Frank-Wolfe OptimizationCode0
A Weighted Predict-and-Optimize Framework for Power System Operation Considering Varying Impacts of Uncertainty—0
From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches—0
Representation Retrieval Learning for Heterogeneous Data Integration—0
Injecting Imbalance Sensitivity for Multi-Task Learning—0
MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models—0
ObjectMover: Generative Object Movement with Video Prior—0
SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework—0
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and ApplicationsCode9
REF-VLM: Triplet-Based Referring Paradigm for Unified Visual DecodingCode1
AnywhereDoor: Multi-Target Backdoor Attacks on Object DetectionCode0
MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents—0
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks—0
Zero-AVSR: Zero-Shot Audio-Visual Speech Recognition with LLMs by Learning Language-Agnostic Speech RepresentationsCode1
CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence—0
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images—0
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning—0
PathRWKV: Enabling Whole Slide Prediction with Recurrent-Transformer—0
UnPuzzle: A Unified Framework for Pathology Image AnalysisCode1
Enhancing Visual Forced Alignment with Local Context-Aware Feature Extraction and Multi-Task Learning—0
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning—0
Catheter Detection and Segmentation in X-ray Images via Multi-task Learning—0
Deepfake Detection via Knowledge Injection—0
Unifying Light Field Perception with Field of ParallaxCode0
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge—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