#MultiTaskLearning

Equation: Tasks×SharedReps → generalization↑ 🧠 Cut compute; share features; curb overfit; tune loss weights; separate heads; audit conflicts 🛠️ - Explore → #AI #MultiTaskLearning #DeepLearning

🔥 Read our Paper 📚 Chinese Named Entity Recognition Model Based on Multi-Task Learning 🔗 👨‍🔬 by Qin Fang et al. #multitasklearning #Chinesenamedentityrecognition

In speech, we employ linguistics hierarchies to decide which words to use over others. Can we teach computers the same? | by @omarsar0 #NLP #Naturallanguageprocessing #multitasklearning

SUBARU Labではクルマ・人・走行領域・道路標示・信号などを同時に認識させるために、DetectionやSemantic Segmentationといった複数のHeadsが1つのBackboneを共有したMulti-task Networkを開発しています。SUBARU ASURA Netと呼んでいます。 #画像認識 #MultitaskLearning

Paper: Improving Ads Ranking Models with Auxiliary Supervision: Techniques and Insights #AdsRanking #AuxiliarySupervision #MultiTaskLearning #MachineLearning #RecommenderSystems #AdTech #MetaAI #SplitArchitecture #LinearizedLabels #DeepLearning #RecommendationSystems #AIResearch

Our paper on "Joint Entity Extraction and Assertion Detection for Clinical Text" got accepted at ACL. #multitasklearning #acl #clinical #nlp #comprehend #medical #comprehendmedical #detection #extraction #text

A beautiful coverage of #MultiTaskLearning via a nice application by @ayushthakur0: @wandb @TensorFlow

Please join us virtually at #ICML2023 to check out our papers: 1) Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal 2) BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning #ContinualLearning #MultiTaskLearning #AI

3 IAB students successfully defended Master's Thesis Himanshu - #MultitaskLearning Divyanshu - #ActiveLearning @geekysethi - Small Sample Size Problem Congratulations! #proudadvisor #deeplearning #articialintelligence #aiforsocialgood #computervision #ArtificialIntelligence

Our new paper where we show the effect of #multitasklearning on #sentimentanalysis #naturallanguageprocessing #senticnet

A new paper was published by Erik Cambria et. al., Nanyang Technological University, Singapore. Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding #multitasklearning #polaritydetection #deeplearning #marketintelligence

Some memories from the 27th Int. @CIPAHeritageDOC, held in Avila (Spain) on 1-5 Sept 2019. Our very own Dominic Clermont presented this @OpenAccess paper #MultitaskLearning #ConvolutionalNeuralNetworks #AI #SilkHeritage #ImageProcessing

Let's dive into #MultiTaskLearning! 📚🚀We covered the basics in the last post, and now it's time to explore the pros and cons of this approach, along with tips for maximizing its effectiveness. Check it out for more insights: #MachineLearning #AI

🤗Excited to share that we will be at NeurIPS 2023 in New Orleans to present our spotlight paper “Episodic Multi-Task Learning with Heterogeneous Neural Processes ”. Paper: Code: #NeurIPS2023 #Bayesian #multitasklearning

Want to share some great works at #BMVC2020. EigenSDF ( uses a linear decoder, computed by PCA on ground truth 3D models. This approach allows the model to scale to high res 3D models. Great work from @MILAMontreal, UniOfQueensland and UniOfMontreal. (1/4)

ViewSynth integrates a view synthesis module in their learning pipeline and learn to associate correspondences between a pair of depth images ( They show the model captures the geometry info and, hence, achieves better matching. Great work, Jisan Mahmud!

Mish proposes a new activation function. Compared to ReLU and Swish, Mish offers a smooth loss func landscape ( The optimum region is wider, allowing better generalisation and good for #TransferLearning and #MultitaskLearning. Great work, @DigantaMisra1!

The new issue of @jucsnews is out! This issue covers #bloomFilters, #MultiTaskLearning, #CentralityMeasures, SocialNetworkAnalysis #WordEmbedding #BigData in #DistanceEducation and more. Read more about it on: @Pensoft @tugraz @tugraz_csbme

When you train your neural network on many related tasks (#EHR time-series prediction tasks) simultaneously, it trains faster and improves the AUROC #medicalinformatics #multitasklearning #deeplearning #machinelearning #healthcare #datascience

Multi-task learning is a type of machine learning where machines can learn to perform multiple tasks simultaneously, making it a powerful tool for efficiency and performance. #MultiTaskLearning #AI

For #MultiTaskLearning in @ContinualAI how does a robot learn domain knowledge eg. tasks relationships & complexities? Intrinsic motivation & active imitation enable #TransferLearning & hierarchical #RL 🔖 #ArtificialIntelligence #IA

tasksource: Structured Dataset Preprocessing Annotations for Frictionless Extreme Multi-Task Learning and Evaluation (480 tasks+ sota encoder) #nlp #multitasklearning

MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops Full text: #CropScience #MultitaskLearning #PlantBreeding