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/shuguang-52/drop

공식 코드

DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification

https://github.com/shuheikurita/semrl

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Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies

https://github.com/shuix007/deep-citation

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Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification

https://github.com/shunk031/Multi-task-Conditional-Attention-Networks

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Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative

https://github.com/sicli1991/MultiTaskGesture

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Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal images

https://github.com/silasthu/admul

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Adversarial Multi-task Learning for End-to-end Metaphor Detection

https://github.com/silent618/cevit

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CeViT: Copula-Enhanced Vision Transformer in multi-task learning and bi-group image covariates with an application to myopia screening

https://github.com/sileod/tasksource

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tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation

https://github.com/sinzlab/neural_cotraining

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Towards robust vision by multi-task learning on monkey visual cortex

https://github.com/sjtu-compling/mela

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MELA: Multilingual Evaluation of Linguistic Acceptability

https://github.com/sjunhongshen/unifiedpdesolvers

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UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation

https://github.com/sjyucnel/pri-graphs

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Principle of Relevant Information for Graph Sparsification

https://github.com/smjtgupta/condmtl

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Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection

https://github.com/snap-stanford/graphgym

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Relational Multi-Task Learning: Modeling Relations between Data and Tasks

https://github.com/snowyj/sem_syn_separation

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Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders

https://github.com/snu-mllab/context-memory

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Compressed Context Memory For Online Language Model Interaction

https://github.com/soCzech/MultiTaskObjectStates

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Multi-Task Learning of Object State Changes from Uncurated Videos

https://github.com/socialmediaie/MTML_HateSpeech

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Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media

https://github.com/songchangwei/suicide-risk-prediction

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An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines

https://github.com/sooncheer0420/samo_mtl

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Digital-twin-enhanced metal tube bending forming real-time prediction method based on Multi-source-input MTL

https://github.com/sophiewharrie/causal-similarity-based-hierarchical-bayesian-models

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Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal Mechanisms

https://github.com/sophiewharrie/meta-learning-hierarchical-model-similar-causal-mechanisms

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Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal Mechanisms

https://github.com/soumyasanyal/mt-cgcnn

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MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction

https://github.com/souro/multilingual_text_detoxification

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Text Detoxification as Style Transfer in English and Hindi

https://github.com/speechbrain/speechbrain

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SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation

https://github.com/sreyan88/mmer

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MMER: Multimodal Multi-task Learning for Speech Emotion Recognition

https://github.com/srsawant34/efficient_instruction_learning

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Instruction Tuned Models are Quick Learners

https://github.com/sseung0703/Knowledge_distillation_via_TF2.0

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Graph-based Knowledge Distillation by Multi-head Attention Network

https://github.com/ssi-research/bayesagg_mtl

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Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning

https://github.com/stanfordvl/sonicverse

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Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear

https://github.com/steffengra/anchoring_2

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A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation

https://github.com/stepjam/RLBench

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RLBench: The Robot Learning Benchmark & Learning Environment

https://github.com/strubell/LISA

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Linguistically-Informed Self-Attention for Semantic Role Labeling

https://github.com/subho406/OmniNet

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OmniNet: A unified architecture for multi-modal multi-task learning

https://github.com/suehiro93/mil_reduction

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Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning

https://github.com/sufe-nlp/transformer-alignment

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Accurate Word Alignment Induction from Neural Machine Translation

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