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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://github.com/lorenmt/auto-lambda

공식 코드

Auto-Lambda: Disentangling Dynamic Task Relationships

https://github.com/lorenmt/maxl

공식 코드

Self-Supervised Generalisation with Meta Auxiliary Learning

https://github.com/lorenmt/mtan

공식 코드

End-to-End Multi-Task Learning with Attention

https://github.com/lsmcolab/semantic-segmentation-under-adverse-conditions

공식 코드

Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach

https://github.com/ltgoslo/fun-nom

공식 코드

Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation

https://github.com/ltgoslo/multitask_negation_for_sa

공식 코드

Improving Sentiment Analysis with Multi-task Learning of Negation

https://github.com/ltrottier/deep-collaboration-network

공식 코드

Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection

https://github.com/lucascjysdl/hierairl

공식 코드

Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control

https://github.com/lucascjysdl/multi-task-hierarchical-airl

공식 코드

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

https://github.com/lucaspascal/Maximum-Roaming-Mutli-Task-Learning

공식 코드

Maximum Roaming Multi-Task Learning

https://github.com/lukasliebel/MultiDepth

공식 코드

MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification

https://github.com/lupalab/Meta-Neighborhoods

공식 코드

Meta-Neighborhoods

https://github.com/luyongxi/deep_share

공식 코드

Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

https://github.com/lwsam/ASAP-Gaze

공식 코드

Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour

https://github.com/machamp-nlp/machamp

공식 코드

Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP

https://github.com/machinelearningbcam/supervised-learning-evolving-task-jmlr-2024

공식 코드

Supervised Learning with Evolving Tasks and Performance Guarantees

https://github.com/machinelearningbcam/supervised-learning-evolving-task-jmlr-2025

공식 코드

Supervised Learning with Evolving Tasks and Performance Guarantees

https://github.com/mahdip72/prot2token

공식 코드

Prot2Token: A Unified Framework for Protein Modeling via Next-Token Prediction

https://github.com/mahsapaknezhad/part

공식 코드

PaRT: Parallel Learning Towards Robust and Transparent AI

https://github.com/mainlp/auxtasks-bavarian-sid

공식 코드

Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study

https://github.com/mainlp/barner

공식 코드

Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data

https://github.com/manavkapadnis/clmsm_emnlp_2023

공식 코드

CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text

https://github.com/mancinimassimiliano/adagraph

공식 코드

Towards Recognizing New Semantic Concepts in New Visual Domains

https://github.com/mandal-cv/visimpaired

공식 코드

Helping Visually Impaired People Take Better Quality Pictures

https://github.com/maragraziani/multitask_adversarial

공식 코드

Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization

https://github.com/marcelampc/mtl_aerial_images

공식 코드

Multi-Task Learning of Height and Semantics from Aerial Images

https://github.com/marcuxu/psmg

공식 코드

PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization

https://github.com/masterai-eam/darwin

공식 코드

DARWIN 1.5: Large Language Models as Materials Science Adapted Learners

https://github.com/mathwrx/BA-Net/blob/main/encoding/models/BANet.py

공식 코드

Boundary-aware Context Neural Network for Medical Image Segmentation

https://github.com/matnlp/cmedmrc

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Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources

https://github.com/mbzuai-nlp/arabicmmlu

공식 코드

ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

https://github.com/mbzuai-nlp/sttatts

공식 코드

STTATTS: Unified Speech-To-Text And Text-To-Speech Model

https://github.com/mc-cv/cigf

공식 코드

Compressed Interaction Graph based Framework for Multi-behavior Recommendation

https://github.com/mc-cv/pkef

공식 코드

Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation

https://github.com/mcjacktang/fusionvitals

공식 코드

Non-Contact Health Monitoring During Daily Personal Care Routines

https://github.com/mdelhoneux/machamp-worst_case_acl

공식 코드

Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning

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