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/yue-fan/ssb

공식 코드

SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning

https://github.com/yunqing-me/Born-Again-FS

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FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification

https://github.com/yusanshi/LSEC-GNN

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Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation

https://github.com/yuwchen/inqss

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InQSS: a speech intelligibility and quality assessment model using a multi-task learning network

https://github.com/yuweicao-uic/coldgpt

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Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation

https://github.com/yuweicao-uic/xltime

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XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction

https://github.com/yuzhimanhua/lm-lstm-crf

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Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

https://github.com/ywx-hub/ALWA

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Revisiting the Loss Weight Adjustment in Object Detection

https://github.com/yzyouzhang/Empirical-Channel-CM

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An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

https://github.com/zengxianyu/jsws

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Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation

https://github.com/zenseact/zod

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Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving

https://github.com/zh-i9/pcp-for-idrr

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Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition

https://github.com/zhaiyi000/tlp

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TLP: A Deep Learning-based Cost Model for Tensor Program Tuning

https://github.com/zhang-xiaokun/bipnet

공식 코드

Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation

https://github.com/zhanglijun95/AutoMTL

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AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning

https://github.com/zhanglijun95/TreeMTL

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A Tree-Structured Multi-Task Model Recommender

https://github.com/zhanglijun95/mtlattack-dgba

공식 코드

Multi-Task Models Adversarial Attacks

https://github.com/zhangqianhui/SGGAN-tensorflow

공식 코드

Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation

https://github.com/zhangqianhui/Sparsely-Grouped-GAN

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Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation

https://github.com/zhangrui4041/backdoor_complications

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The Ripple Effect: On Unforeseen Complications of Backdoor Attacks

https://github.com/zhangyp15/beverse

공식 코드

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

https://github.com/zhaoningyu1996/hm-gnn

공식 코드

Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks

https://github.com/zhawe01/fairseq-gec

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Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

https://github.com/zhenqi-he/transnuseg

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TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation

https://github.com/zhiwang123/eps-mpmab-ts

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Thompson Sampling for Robust Transfer in Multi-Task Bandits

https://github.com/zhongfendeng/jpave

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JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction

https://github.com/zhongxiayan/mixed_autonomy_intersections

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Reinforcement Learning for Mixed Autonomy Intersections

https://github.com/zhujiagang/gating-ConvNet-code

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Learning Gating ConvNet for Two-Stream based Methods in Action Recognition

https://github.com/zhujiarui42/cfp-loss

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Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss

https://github.com/zihaow123/unimm

공식 코드

Unified Multimodal Model with Unlikelihood Training for Visual Dialog

https://github.com/zju-xmech/phaseguidedcontrol

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Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller

https://github.com/zjukg/DUET

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DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning

https://github.com/zjunet/graphtcm

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Exploring Correlations of Self-Supervised Tasks for Graphs

https://github.com/zmd971202/OpenNER

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Neural Correction Model for Open-Domain Named Entity Recognition

https://github.com/znlp/functionalspecializationinmha

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Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning

https://github.com/zpbao/bowtie_networks

공식 코드

Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis

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