Papers with Code 아카이브

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://github.com/Howardqlz/Meta-MTL

공식 코드

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features

https://github.com/Hzzone/MTLFace

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When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework

https://github.com/IMSY-DKFZ/self-distilled-swin

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Self-distillation for surgical action recognition

https://github.com/IMSY-DKFZ/task-fingerprinting

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Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI

https://github.com/Inha-CVAI/MADGNet

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Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention

https://github.com/IntelVCL/MultiObjectiveOptimization

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Multi-Task Learning as Multi-Objective Optimization

https://github.com/JH-GEECS/CART_public

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Revisiting Weight Averaging for Model Merging

https://github.com/JLDeng/ST-Norm

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A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting

https://github.com/JRC1995/Tweet-Disaster-Keyphrase

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On Identifying Hashtags in Disaster Twitter Data

https://github.com/JStehouwer/FFD_CVPR2020

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On the Detection of Digital Face Manipulation

https://github.com/Jacob-Zhou/stack-parser

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Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?

https://github.com/Jenny-Zhu/CSI-Bench-Real-WiFi-Sensing-Benchmark

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CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing

https://github.com/JeongHun0716/zero-avsr

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Zero-AVSR: Zero-Shot Audio-Visual Speech Recognition with LLMs by Learning Language-Agnostic Speech Representations

https://github.com/JianiLi/resilientDistributedMTL

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Byzantine Resilient Distributed Multi-Task Learning

https://github.com/JingWu321/MUNBa

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MUNBa: Machine Unlearning via Nash Bargaining

https://github.com/JitengMu/Learning-from-Synthetic-Animals

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Learning from Synthetic Animals

https://github.com/Jivnesh/SanDP

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Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing

https://github.com/JohnMBrandt/text-classification

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Imbalanced multi-label classification using multi-task learning with extractive summarization

https://github.com/JoshuaGhost/expred

공식 코드

Explain and Predict, and then Predict Again

https://github.com/JunYongJeong/VSTG-MTL

공식 코드

Variable Selection and Task Grouping for Multi-Task Learning

https://github.com/KiroSummer/A_Syntax-aware_MTL_Framework_for_Chinese_SRL

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A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling

https://github.com/Klodivio355/MTL-CV-Review

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When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review

https://github.com/LCS2-IIITD/LUMEN-Explaining-Memes

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What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes

https://github.com/LilyNLP/ADFAR

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Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice

https://github.com/LinHanhe/DeepFL-IQA

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DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

https://github.com/LittlePea13/UsVsThem

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Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions

https://github.com/Lydorn/Polygonization-by-Frame-Field-Learning

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Polygonal Building Segmentation by Frame Field Learning

https://github.com/MLSpeech/Dr.VOT

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Dr.VOT : Measuring Positive and Negative Voice Onset Time in the Wild

https://github.com/MUSEFood/MUSEFood

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MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones

https://github.com/MacavityT/REF-VLM

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REF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decoding

https://github.com/Machine-Learning-for-Medical-Language/SMMH-Medication-Detection

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BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning

https://github.com/Maluuba/gensen

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Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

https://github.com/MandyMo/HIU-DMTL

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Hand Image Understanding via Deep Multi-Task Learning

https://github.com/NUSTM/ECPE

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Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts

https://github.com/NUSTM/EMDRC

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Towards Explainable Multimodal Depression Recognition for Clinical Interviews

https://github.com/NVIDIA/NeMo

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Llama 3 Meets MoE: Efficient Upcycling

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