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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/didzis/tensorflowAMR

공식 코드

Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project

https://github.com/dilab-ustcsz/cmust

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Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework

https://github.com/diliadis/deepmtp

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Hyperparameter optimization in deep multi-target prediction

https://github.com/dimarziobian/cpmr

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CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning

https://github.com/dinobby/ZS-BERT

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ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning

https://github.com/divamgupta/mttdsc

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Multi-task Learning for Target-dependent Sentiment Classification

https://github.com/dmis-lab/demographic-prediction

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Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network

https://github.com/doheejin/HiPAMA

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Hierarchical Pronunciation Assessment with Multi-Aspect Attention

https://github.com/dongbo811/uqformer

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A Unified Query-based Paradigm for Camouflaged Instance Segmentation

https://github.com/dongpham120899/labelvariation_sciie

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Solving Label Variation in Scientific Information Extraction via Multi-Task Learning

https://github.com/dragonlzm/pave

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PAVE: Patching and Adapting Video Large Language Models

https://github.com/drwuHUST/MTGA

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Multi-Tasking Genetic Algorithm (MTGA) for Fuzzy System Optimization

https://github.com/drylbear/soundscapeCityClassification

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City classification from multiple real-world sound scenes

https://github.com/dstamos/Parameter-free-MTL

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Online Parameter-Free Learning of Multiple Low Variance Tasks

https://github.com/dual-grp/fedu_fmtl

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A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization

https://github.com/e0hyl/finer-explain

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FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis

https://github.com/easonsi/ssene

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Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency

https://github.com/ebagdasa/federated_adaptation

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Salvaging Federated Learning by Local Adaptation

https://github.com/edisonni-hku/mtl4finance

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When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP

https://github.com/egangu/high-order-joint-parsing

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High-order Joint Constituency and Dependency Parsing

https://github.com/eleutherai/gpt-neox

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GPT-NeoX-20B: An Open-Source Autoregressive Language Model

https://github.com/emengd/multitask-agreement

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Exploring the Syntactic Abilities of RNNs with Multi-task Learning

https://github.com/emorynlp/elit

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ELIT: Emory Language and Information Toolkit

https://github.com/emorynlp/stem-cell-hypothesis

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The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders

https://github.com/endrikacupaj/VOGUE

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VOGUE: Answer Verbalization through Multi-Task Learning

https://github.com/engineeringmath/fetal_dmri_delineation

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Detailed delineation of the fetal brain in diffusion MRI via multi-task learning

https://github.com/ennengyang/awesome-model-merging-methods-theories-applications

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Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

https://github.com/ennengyang/representationsurgery

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Representation Surgery for Multi-Task Model Merging

https://github.com/ennengyang/surgeryv2

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SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery

https://github.com/erkanmilli/3mt-roadseg

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Multi-Modal Multi-Task (3MT) Road Segmentation

https://github.com/ertekin-research-group/material_recommender

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Leveraging Language Representation for Material Recommendation, Ranking, and Exploration

https://github.com/eryixie/planerecnet

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PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image

https://github.com/espnet/espnet

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A New Benchmark of Aphasia Speech Recognition and Detection Based on E-Branchformer and Multi-task Learning

https://github.com/ethanwu2011/ContextualizedTB

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Patient-Specific Models of Treatment Effects Explain Heterogeneity in Tuberculosis

https://github.com/ethanygao/NDDR-CNN

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NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

https://github.com/ethanygao/dmtg

공식 코드

DMTG: One-Shot Differentiable Multi-Task Grouping

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