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 1301–1325 of 3687 papers

TitleStatusHype
Embedding Structured Dictionary Entries—0
Embedding Label Structures for Fine-Grained Feature Representation—0
Multitask Kernel-based Learning with First-Order Logic Constraints—0
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation—0
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling—0
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks—0
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration—0
Bridging Resolution: Making Sense of the State of the Art—0
Electricity Demand Forecasting by Multi-Task Learning—0
Anaphora Resolution in Dialogue: System Description (CODI-CRAC 2022 Shared Task)—0
Egocentric Video Task Translation—0
Egocentric Audio-Visual Noise Suppression—0
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis—0
An analytic theory of generalization dynamics and transfer learning in deep linear networks—0
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation—0
Efficient Retrieval Optimized Multi-task Learning—0
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping—0
Branched Multi-Task Networks: Deciding What Layers To Share—0
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning—0
Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet—0
An Analysis of Selection Bias Issue for Online Advertising—0
Efficient Pareto Manifold Learning with Low-Rank Structure—0
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method—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