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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 1851–1900 of 3687 papers

TitleStatusHype
Lifelong Reinforcement Learning via Neuromodulation—0
Lifelong Robotic Reinforcement Learning by Retaining Experiences—0
LIMIT-BERT : Linguistic Informed Multi-Task BERT—0
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution—0
LIMT: Language-Informed Multi-Task Visual World Models—0
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data—0
Towards automatic construction of multi-network models for heterogeneous multi-task learning—0
Linguistically-Informed Self-Attention for Semantic Role Labeling—0
Linguistic representations in multi-task neural networks for ellipsis resolution—0
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements—0
Bayesian Model Adaptation for Crowd Counts—0
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs—0
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection—0
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes—0
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models—0
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning—0
LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation—0
LMHLD: A Large-scale Multi-source High-resolution Landslide Dataset for Landslide Detection based on Deep Learning—0
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding—0
Local-Global Information Interaction Debiasing for Dynamic Scene Graph Generation—0
Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach—0
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning—0
Location-Centered House Price Prediction: A Multi-Task Learning Approach—0
Location-guided Head Pose Estimation for Fisheye Image—0
Bayesian Context Aggregation for Neural Processes—0
Logically Consistent Loss for Visual Question Answering—0
BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty—0
Incorporating VAD into ASR System by Multi-task Learning—0
BanditMTL: Bandit-based Multi-task Learning for Text Classification—0
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders—0
LordBERT: Embedding Long Text by Segment Ordering with BERT—0
Baidu Translate: Research and Products—0
Low-Latency Neural Speech Translation—0
Low-Latency Task-Oriented Communications with Multi-Round, Multi-Task Deep Learning—0
Low-Rank Deep Convolutional Neural Network for Multi-Task Learning—0
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning—0
Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields—0
LRN: Limitless Routing Networks for Effective Multi-task Learning—0
LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis—0
NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction—0
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning—0
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches—0
Bagging Supervised Autoencoder Classifier for Credit Scoring—0
Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters—0
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes—0
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images—0
Backdoor Attacks against Image-to-Image Networks—0
M3TCM: Multi-modal Multi-task Context Model for Utterance Classification in Motivational Interviews—0
A Weighted Predict-and-Optimize Framework for Power System Operation Considering Varying Impacts of Uncertainty—0
Towards Emotion-aided Multi-modal Dialogue Act Classification—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