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Multi-Task Learning

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하위 태스크: 2
평가표: 8
보존된 평가 기록: 16

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

<span style="color:grey; opacity: 0.6">( Image credit: Cross-stitch Networks for Multi-task Learning )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/PatriciaXiao/pem

공식 코드

Detecting Political Biases of Named Entities and Hashtags on Twitter

https://bitbucket.org/smartan117/sgim-yumi-simu

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Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy

https://code.engineering.queensu.ca/pritam/SSL-ECG

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Self-supervised ECG Representation Learning for Emotion Recognition

https://github.com/10ring/laa-net

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LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection

https://github.com/1918190/copf

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Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation

https://github.com/1980x/abaw2022dmacs

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SS-MFAR : Semi-supervised Multi-task Facial Affect Recognition

https://github.com/4pygmalion/cosas

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Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning

https://github.com/6272code/6272-code

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Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch Network

https://github.com/846468230/sebot

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SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection

https://github.com/935963004/neurolm

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NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

https://github.com/99731/M2GRL

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M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems

https://github.com/AGalassi/StructurePrediction18

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Multi-Task Attentive Residual Networks for Argument Mining

https://github.com/AI-secure/multi-task-learning

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Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation

https://github.com/AIED2021/multitask-dialogic-instruction

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Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models

https://github.com/AIM3-RUC/ABAW4

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Multi-Task Learning Framework for Emotion Recognition in-the-wild

https://github.com/ANDROComputationalSolutions/RadarCommDataset

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Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification

https://github.com/ASAP-AEG/MTL-Essay-Traits-Scoring

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Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays

https://github.com/Abdullah-Abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat

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Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning

https://github.com/Adapter-Hub/adapter-transformers

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AdapterFusion: Non-Destructive Task Composition for Transfer Learning

https://github.com/Advacheck-OU/ai-detector-coling2025

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Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking

https://github.com/Alexuan/musical_instrument_embedding

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Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument sounds

https://github.com/AntoAndGar/task_singular_vectors

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Task Singular Vectors: Reducing Task Interference in Model Merging

https://github.com/ApolloScapeAuto/dataset-api

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The ApolloScape Open Dataset for Autonomous Driving and its Application

https://github.com/ArghyaPal/Adversarial-Data-Programming

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Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data

https://github.com/ArthurLeroy/MAGMAclust

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Cluster-Specific Predictions with Multi-Task Gaussian Processes

https://github.com/AsaCooperStickland/Bert-n-Pals

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BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

https://github.com/AtomAnu/Burst2Vec

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Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts

https://github.com/AvivNavon/AuxiLearn

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Auxiliary Learning by Implicit Differentiation

https://github.com/AvivNavon/pareto-hypernetworks

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Learning the Pareto Front with Hypernetworks

https://github.com/BehnooshParsa/MTL-ERA

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A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment

https://github.com/BorealisAI/MMoEEx-MTL

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Heterogeneous Multi-task Learning with Expert Diversity

https://github.com/CAIC-AD/YOLOPv2

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YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

https://github.com/CAMTL/CA-MTL

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Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data

https://github.com/CGCL-codes/VulLLM

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Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning

https://github.com/CMU-Perceptual-Computing-Lab/openpose_train

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Single-Network Whole-Body Pose Estimation

https://github.com/Cedarch/M3Net

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M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving

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