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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/mediabrain-sjtu/ming

공식 코드

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts

https://github.com/median-research-group/libmtl

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LibMTL: A Python Library for Multi-Task Learning

https://github.com/megagonlabs/doduo

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Annotating Columns with Pre-trained Language Models

https://github.com/megvii-research/petr

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PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

https://github.com/mehmetaaygul/hardware-problem-identification

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Identification of Distorted RF Components via Deep Multi-Task Learning

https://github.com/meiyan88/mcnet

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Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive Impairment

https://github.com/menelaoskanakis/RCM

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Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference

https://github.com/mercari/mercari-ml-merrec-pub-us

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MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems

https://github.com/metagol/metagol

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Forgetting to learn logic programs

https://github.com/miacsu/mtdl

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MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation

https://github.com/miccaiif/Official-PyTorch-Implementation-of-TransMEF

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TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning

https://github.com/miccaiif/transmef

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TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning

https://github.com/michaelkonobeev/meta

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Trace norm regularization for multi-task learning with scarce data

https://github.com/michigancog/forcepose

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Learning to Estimate External Forces of Human Motion in Video

https://github.com/microsoft/mmlu-cf

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MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark

https://github.com/microsoft/mttl

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Mixture of Latent Experts Using Tensor Products

https://github.com/microsoft/speecht5

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Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data

https://github.com/microsoft/unispeech

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UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training

https://github.com/mihir3009/in-boxbart

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In-BoXBART: Get Instructions into Biomedical Multi-Task Learning

https://github.com/mikecovlee/mLoRA

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MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

https://github.com/miladvazan/Joint_Learning_Classification_Persian_Reviews-

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A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews

https://github.com/miladvazan/convolutional-neural-networks-based-multi-task-ensemble-model

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A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews

https://github.com/mimbres/yourmt3

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YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation

https://github.com/mingjiewang0606/fedcl_pubic

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FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity

https://github.com/mingshiyan/crgcn

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Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation

https://github.com/minimario/morbit

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Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning

https://github.com/minnesotanlp/p2c

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Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning

https://github.com/miriamcobo/multitasklearning_ich_prognosis

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Multi-task Learning Approach for Intracranial Hemorrhage Prognosis

https://github.com/misahub2023/benchmarking-codes-of-the-wcebleedgen-dataset

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WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation

https://github.com/mistralai/mistral-src

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Mistral 7B

https://github.com/mit-gfx/ContinuousParetoMTL

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Efficient Continuous Pareto Exploration in Multi-Task Learning

https://github.com/mjkleinman/criticalperioddeeplinearnets

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Critical Learning Periods Emerge Even in Deep Linear Networks

https://github.com/mjq11302010044/RRPN_plusplus

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RRPN++: Guidance Towards More Accurate Scene Text Detection

https://github.com/mklimasz/language-arithmetic

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No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement

https://github.com/ml-opt-lab/sdmgrad

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Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms

https://github.com/mlfoundations/task_vectors

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Editing Models with Task Arithmetic

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