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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/iarai/neurips2022-traffic4cast

공식 코드

Multi-task Learning for Sparse Traffic Forecasting

https://github.com/ibcl-anon/ibcl

공식 코드

IBCL: Zero-shot Model Generation for Task Trade-offs in Continual Learning

https://github.com/icemansina/IJCAI2016

공식 코드

Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks

https://github.com/ictnlp/cress

공식 코드

Understanding and Bridging the Modality Gap for Speech Translation

https://github.com/ictnlp/streamspeech

공식 코드

StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning

https://github.com/idiap/gile

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GILE: A Generalized Input-Label Embedding for Text Classification

https://github.com/idiap/mhan

공식 코드

Multilingual Hierarchical Attention Networks for Document Classification

https://github.com/ifzhang/FairMOT

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FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/ignorejjj/longrefiner

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Hierarchical Document Refinement for Long-context Retrieval-augmented Generation

https://github.com/illidanlab/AMTL

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Asynchronous Multi-Task Learning

https://github.com/illidanlab/subspace-net

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Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases

https://github.com/imed-lab/vaff-net

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Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning

https://github.com/ink-usc/crosstaskmoe

공식 코드

Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts

https://github.com/innovator-zero/MTDP_Lib

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Prompt Guided Transformer for Multi-Task Dense Prediction

https://github.com/intellabs/matsciml

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MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling

https://github.com/intelligolabs/mtl-split

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MTL-Split: Multi-Task Learning for Edge Devices using Split Computing

https://github.com/internlm/internlm-math

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InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

https://github.com/iobt-vistec/min2net

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MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

https://github.com/ipsitmantri/DiTASK

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DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations

https://github.com/is5882/uu-tax

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UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation

https://github.com/isdling/predicttcl

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Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

https://github.com/ispamm/MMD-Bayesian-Neural-Network

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Bayesian Neural Networks With Maximum Mean Discrepancy Regularization

https://github.com/issararab/pevolm

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PEvoLM: Protein Sequence Evolutionary Information Language Model

https://github.com/iurada/talos-task-arithmetic

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Efficient Model Editing with Task-Localized Sparse Fine-tuning

https://github.com/j-min/VL-T5

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Unifying Vision-and-Language Tasks via Text Generation

https://github.com/jLooo/VADMamba

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VADMamba: Exploring State Space Models for Fast Video Anomaly Detection

https://github.com/jacklxc/ParagraphJointModel

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A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification

https://github.com/jagol/cl-uzh-edos-2023

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CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions

https://github.com/jayneelparekh/sp2si-code

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Speech-to-Singing Conversion in an Encoder-Decoder Framework

https://github.com/jbingel/eacl2017_mtl

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Identifying beneficial task relations for multi-task learning in deep neural networks

https://github.com/jbji/repvf

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RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

https://github.com/jc-202/hopgnn

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From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm

https://github.com/jc043/cpl

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Predictive Experience Replay for Continual Visual Control and Forecasting

https://github.com/jdfxzzy/pean

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PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution

https://github.com/jerbarnes/multitask_negation_for_targeted_sentiment

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Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification

https://github.com/jiadongzh/iacos

공식 코드

iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples

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