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https://deepai.org/publication/multi-task-learning-with-multi-head-attention-for-multi-choice-reading-comprehension Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension | DeepAI Feb 26, 2020 - 02/26/20 - Multiple-choice Machine Reading Comprehension (MRC) is an important and challenging Natural Language Understanding (NLU) task, in ... multi task learning reading comprehension head https://openreview.net/forum?id=UwvjJZWjPT Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse |... Neural networks are often trained on multiple tasks, either simultaneously (multi-task learning, MTL) or sequentially (pretraining and subsequent finetuning,... multi task learning https://warwick.ac.uk/fac/cross_fac/eduport/edufund/projects/yang/projects/multi-task-learning-based-online-dialogic-instruction-detection-with-pre-trained-language-models/ multi-task-learning-based-online-dialogic-instruction-detection-with-pre-trained-language-models Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models - Research project on AI in education multi task learning https://www.amazon.science/publications/multi-task-learning-for-parsing-the-alexa-meaning-representation-language Multi-Task Learning For Parsing The Alexa Meaning Representation Language - Amazon Science The Alexa Meaning Representation Language (AMRL) is a compositional graph-based semantic representation that includes fine-grained types, properties, actions,... multi task learning https://openreview.net/forum?id=ktTSji9ZIs Multi-task learning with summary statistics | OpenReview Multi-task learning has emerged as a powerful machine learning paradigm for integrating data from multiple sources, leveraging similarities between tasks to... multi task learning summary statistics openreview https://openreview.net/forum?id=wmwgLEPjL9 In Defense of the Unitary Scalarization for Deep Multi-Task Learning | OpenReview We show that a basic multi-task learning optimizer performs on par with specialized algorithms and suggest a possible explanation based on regularization. multi task learning of the https://www.brunel.ac.uk/computer-science/news-and-events/news/Using-multi-task-learning-to-predict-behaviour-of-potential-drugs Using multi-task learning to predict behaviour of potential drugs | Brunel University of London Using multi-task learning to predict behaviour of potential drugs multi task learning https://aclanthology.org/I17-2010/ Deep Automated Multi-task Learning - ACL Anthology Davis Liang, Yan Shu. Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2017. multi task learning deep automated acl anthology https://www.amazon.science/publications/multi-domain-multi-task-learning-of-joint-slot-filling-and-intent-classification Multi-task learning with task, group, and universe feature learning - Amazon Science We present methods for multi-task learning that take advantage of natural groupings of related tasks. Task groups may be defined along known properties of the... multi task learning group universe feature amazon https://arxiv.org/abs/1906.09412 [1906.09412] Multi-task Learning for Aggregated Data using Gaussian Processes Abstract page for arXiv paper 1906.09412: Multi-task Learning for Aggregated Data using Gaussian Processes multi task learning 1906 09412 https://github.com/NVlabs/PAMTRI GitHub - NVlabs/PAMTRI: PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification (ICCV... PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification (ICCV 2019) - Official PyTorch Implementation - NVlabs/PAMTRI multi task learning https://github.com/npuliyang/Personality-Detection-MTL GitHub - npuliyang/Personality-Detection-MTL: A Multi-task learning framework for personality trait... A Multi-task learning framework for personality trait detection - npuliyang/Personality-Detection-MTL multi task learning https://openreview.net/forum?id=SylzhkBtDB Understanding and Improving Information Transfer in Multi-Task Learning | OpenReview A Theoretical Study of Multi-Task Learning with Practical Implications for Improving Multi-Task Training and Transfer Learning multi task learning information transfer understanding improving openreview https://arxiv.org/abs/2508.02230 [2508.02230] FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive... Abstract page for arXiv paper 2508.02230: FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware... multi task learning https://github.com/justinphan3110/cotext GitHub - justinphan3110/CoTexT: Code implementation for CoTexT: Multi-task Learning with Code-Text... Code implementation for CoTexT: Multi-task Learning with Code-Text Transformer - justinphan3110/CoTexT multi task learning github code implementation https://aclanthology.org/W19-5947/ Multi-Task Learning of System Dialogue Act Selection for Supervised Pretraining of Goal-Oriented... Sarah McLeod, Ivana Kruijff-Korbayova, Bernd Kiefer. Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue. 2019. multi task learning https://deepai.org/publication/generalized-multi-task-learning-from-substantially-unlabeled-multi-source-medical-image-data Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data |... Oct 25, 2021 - 10/25/21 - Deep learning-based models, when trained in a fully-supervised manner, can be effective in performing complex image analysis tasks... multi task learning medical image generalized https://openreview.net/forum?id=Cri3xz59ga Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach | OpenReview This article provides theoretical insights into the inner workings of multi-task and transfer learning methods, by studying the tractable least-square support... multi task learning random matrix deciphering optimizing https://arxiv.org/abs/2508.04682 [2508.04682] TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent... Abstract page for arXiv paper 2508.04682: TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction multi task learning https://aclanthology.org/D18-1486/ MCapsNet: Capsule Network for Text with Multi-Task Learning - ACL Anthology Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing.... multi task learning capsule network text https://aclanthology.org/D19-5716/ A Multi-Task Learning Framework for Extracting Bacteria Biotope Information - ACL Anthology Qi Zhang, Chao Liu, Ying Chi, Xuansong Xie, Xiansheng Hua. Proceedings of the 5th Workshop on BioNLP Open Shared Tasks. 2019. multi task learning https://openreview.net/forum?id=-9bAYexxLtN Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning | OpenReview Multi-task learning helps weakly supervised CT and skin lesion segmentation multi task learning improving supervised lesion segmentation https://aclanthology.org/2020.aacl-srw.17/ Multi-task Learning for Automated Essay Scoring with Sentiment Analysis - ACL Anthology Panitan Muangkammuen, Fumiyo Fukumoto. Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the... multi task learning automated essay scoring https://deepai.org/publication/pamtri-pose-aware-multi-task-learning-for-vehicle-re-identification-using-highly-randomized-synthetic-data PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized... May 2, 2020 - 05/02/20 - In comparison with person re-identification (ReID), which has been widely studied in the research community, vehicle ReID has rece... multi task learning vehicle re identification https://openreview.net/forum?id=yVGGtsOgc7 Disentangling Representations through Multi-task Learning | OpenReview Intelligent perception and interaction with the world hinges on internal representations that capture its underlying structure ("disentangled" or "abstract"... multi task learning representations openreview https://openreview.net/forum?id=F2N7dl8BM4&referrer=%5Bthe%20profile%20of%20Jakob%20Nikolas%20Kather%5D(%2Fprofile%3Fid%3D~Jakob_Nikolas_Kather1) Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational... Deep Learning (DL) can predict biomarkers directly from digitized cancer histology in a weakly-supervised setting. Recently, the prediction of continuous... multi task learning joint improves https://aclanthology.org/2022.acl-long.300/ Scheduled Multi-task Learning for Neural Chat Translation - ACL Anthology Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume... multi task learning chat translation scheduled neural acl https://www.mdpi.com/1424-8220/23/20/8462 Multi-Task Learning of Scanning Electron Microscopy and Synthetic Thermal Tomography Images for... One of the key challenges in laser powder bed fusion (LPBF) additive manufacturing of metals is the appearance of microscopic pores in 3D-printed metallic... multi task learning scanning electron microscopy https://openreview.net/forum?id=nWqDlCseR0&referrer=%5Bthe%20profile%20of%20Niloy%20Ganguly%5D(%2Fprofile%3Fid%3D~Niloy_Ganguly1) CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text | OpenReview In this paper, we propose ***CLMSM***, a domain-specific, continual pre-training framework, that learns from a large set of procedural recipes. ***CLMSM***... multi task learning https://www.baeldung.com/cs/multi-task-learning What Is Multi-Task Learning? | Baeldung on Computer Science Mar 18, 2024 - Explore the concept of multi-task learning. multi task learning what is baeldung computer science https://arxiv.org/abs/2305.02813 [2305.02813] MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in... Abstract page for arXiv paper 2305.02813: MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture multi task learning https://aclanthology.org/2020.findings-emnlp.72/ A Multi-task Learning Framework for Opinion Triplet Extraction - ACL Anthology Chen Zhang, Qiuchi Li, Dawei Song, Benyou Wang. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. multi task learning framework https://aclanthology.org/2022.nlp4convai-1.11/ MTL-SLT: Multi-Task Learning for Spoken Language Tasks - ACL Anthology Zhiqi Huang, Milind Rao, Anirudh Raju, Zhe Zhang, Bach Bui, Chul Lee. Proceedings of the 4th Workshop on NLP for Conversational AI. 2022. multi task learning spoken language mtl slt https://openreview.net/forum?id=m5RYtApKFOg Curvature-informed multi-task learning for graph networks | OpenReview We analyze loss curvature properties of graph neural networks in the multi-output prediction setting to see why multi-task learning approaches can fail. multi task learning curvature informed graph networks https://www.amazon.science/publications/mtl-slt-multi-task-learning-for-spoken-language-tasks MTL-SLT: Multi-task learning for spoken language tasks - Amazon Science Language understanding in speech-based systems has attracted extensive interest from both academic and industrial communities in recent years with the growing... multi task learning spoken language mtl slt https://arxiv.org/abs/1704.05742?ref=ruder.io [1704.05742] Adversarial Multi-task Learning for Text Classification Abstract page for arXiv paper 1704.05742: Adversarial Multi-task Learning for Text Classification multi task learning 1704 05742 adversarial text https://deepai.org/publication/grape-cold-hardiness-prediction-via-multi-task-learning Grape Cold Hardiness Prediction via Multi-Task Learning | DeepAI Sep 21, 2022 - 09/21/22 - Cold temperatures during fall and spring have the potential to cause frost damage to grapevines and other fruit plants, which can ... multi task learning cold hardiness grape prediction via https://openreview.net/forum?id=Zc2aIcucwc Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets | OpenReview Recently, pre-trained foundation models have enabled significant advancements in multiple fields. In molecular machine learning, however, where datasets are... https://aclanthology.org/2020.semeval-1.45/ ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION) - ACL Anthology Anandh Konar, Chenyang Huang, Amine Trabelsi, Osmar Zaiane. Proceedings of the Fourteenth Workshop on Semantic Evaluation. 2020. https://aclanthology.org/C18-1246/ Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning -... Shabnam Tafreshi, Mona Diab. Proceedings of the 27th International Conference on Computational Linguistics. 2018. https://openreview.net/forum?id=SJJQVZW0b Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning | OpenReview A novel hierarchical policy network which can reuse previously learned skills alongside and as subcomponents of new skills by discovering the underlying... skill acquisition multi task reinforcement learning hierarchical https://deepai.org/publication/multi-task-metric-learning-on-network-data Multi-Task Metric Learning on Network Data | DeepAI Nov 10, 2014 - 11/10/14 - Multi-task learning (MTL) improves prediction performance in different contexts by learning models jointly on multiple different, ... multi task metric learning network data deepai https://aclanthology.org/2020.coling-industry.6/ An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation - ACL... Pawel Bujnowski, Kseniia Ryzhova, Hyungtak Choi, Katarzyna Witkowska, Jaroslaw Piersa, Tymoteusz Krumholc, Katarzyna Beksa. Proceedings of the 28th... https://openreview.net/forum?id=V5prUHOrOP4 Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning | OpenReview This paper proposes a method to quantify knowledge transfer between few-shot tasks. It also proposes a multimodal meta-learner which advances the... through the lens meta learning multi task revisit multimodal https://www.mdpi.com/1424-8220/23/4/2093 A Federated Learning Multi-Task Scheduling Mechanism Based on Trusted Computing Sandbox At present, some studies have combined federated learning with blockchain, so that participants can conduct federated learning tasks under decentralized... federated learning multi task https://deepai.org/publication/omninet-a-unified-architecture-for-multi-modal-multi-task-learning OmniNet: A unified architecture for multi-modal multi-task learning | DeepAI Jul 17, 2019 - 07/17/19 - Transformer is a popularly used neural network architecture, especially for language understanding. We introduce an extended and u... unified architecture multi modal omninet task learning