{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/multi-task-learning/papers/33","list_of":"/task/multi-task-learning","task":"Multi-Task Learning","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":33,"pages_in_order":37,"rows_per_page":100,"rows":[3201,3300],"of":3687,"counts":{"archive_papers_tagged":3687,"with_a_code_link":1306,"where_syntology_ran_a_sample":260,"not_listed_spam_title":0,"listed":3687,"listed_where_code_ran":260,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":217,"every_run_a_failure_of_syntologys_instrument":43,"listed_with_a_run_with_no_instrument_failure":217,"listed_every_run_a_failure_of_syntologys_instrument":43,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/multi-task-learning","prev":"/task/multi-task-learning/papers/32","next":"/task/multi-task-learning/papers/34","papers":[{"url":null,"slug":"multi-task-learning-with-high-order","title":"Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification","date":"2019-03-28","arxiv_id":"1903.12058","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-time-series-analysis-applied-to","title":"Multi-Task Time Series Analysis applied to Drug Response Modelling","date":"2019-03-21","arxiv_id":"1903.08970","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-automatic-construction-of-multi","title":"Towards automatic construction of multi-network models for heterogeneous multi-task learning","date":"2019-03-21","arxiv_id":"1903.09171","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-octonion-networks","title":"Deep Octonion Networks","date":"2019-03-20","arxiv_id":"1903.08478","repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-generation-at-scale-a-case","title":"Natural Language Generation at Scale: A Case Study for Open Domain Question Answering","date":"2019-03-19","arxiv_id":"1903.08097","repositories_listed":0,"syntology":null},{"url":null,"slug":"190412574","title":"Knowledge-aware Complementary Product Representation Learning","date":"2019-03-16","arxiv_id":"1904.12574","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-and-zero-shot-learning-for","title":"Few-Shot and Zero-Shot Learning for Historical Text Normalization","date":"2019-03-12","arxiv_id":"1903.04870","repositories_listed":0,"syntology":null},{"url":null,"slug":"scaling-multi-domain-dialogue-state-tracking","title":"Scaling Multi-Domain Dialogue State Tracking via Query Reformulation","date":"2019-03-12","arxiv_id":"1903.05164","repositories_listed":0,"syntology":null},{"url":null,"slug":"practical-semantic-parsing-for-spoken","title":"Practical Semantic Parsing for Spoken Language Understanding","date":"2019-03-11","arxiv_id":"1903.04521","repositories_listed":0,"syntology":null},{"url":null,"slug":"sleepnet-automated-sleep-disorder-detection","title":"SleepNet: Automated Sleep Analysis via Dense Convolutional Neural Network Using Physiological Time Series","date":"2019-03-11","arxiv_id":"1903.04377","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-cnn-based-multi-task-learning-for-open","title":"Deep CNN-based Multi-task Learning for Open-Set Recognition","date":"2019-03-07","arxiv_id":"1903.03161","repositories_listed":0,"syntology":null},{"url":null,"slug":"representative-task-self-selection-for","title":"Representative Task Self-selection for Flexible Clustered Lifelong Learning","date":"2019-03-06","arxiv_id":"1903.02173","repositories_listed":0,"syntology":null},{"url":null,"slug":"edgestereo-an-effective-multi-task-learning","title":"EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection","date":"2019-03-05","arxiv_id":"1903.01700","repositories_listed":0,"syntology":null},{"url":null,"slug":"facelivenet-a-holistic-networks-for-face","title":"FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks","date":"2019-02-28","arxiv_id":"1902.11179","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-generate-questions-by-learning","title":"Learning to Generate Questions by Learning What not to Generate","date":"2019-02-27","arxiv_id":"1902.10418","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-with-contextualized-word","title":"Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition","date":"2019-02-26","arxiv_id":"1902.10118","repositories_listed":0,"syntology":null},{"url":null,"slug":"shear-net-an-end-to-end-deep-learning","title":"SHEAR-net: An End-to-End Deep Learning Approach for Single Push Ultrasound Shear Wave Elasticity Imaging","date":"2019-02-13","arxiv_id":"1902.04845","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-anchored-speech-recognition","title":"End-to-end Anchored Speech Recognition","date":"2019-02-06","arxiv_id":"1902.02383","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-multi-task-learning-to-improve-the","title":"Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models","date":"2019-02-02","arxiv_id":"1902.01951","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stream-multi-task-network-for-fashion","title":"Two-Stream Multi-Task Network for Fashion Recognition","date":"2019-01-29","arxiv_id":"1901.10172","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-shape-learning-and-segmentation-for","title":"Joint shape learning and segmentation for medical images using a minimalistic deep network","date":"2019-01-25","arxiv_id":"1901.08824","repositories_listed":0,"syntology":null},{"url":null,"slug":"sentiment-and-sarcasm-classification-with","title":"Sentiment and Sarcasm Classification with Multitask Learning","date":"2019-01-23","arxiv_id":"1901.08014","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-with-a-fully","title":"Reducing the Model Variance of a Rectal Cancer Segmentation Network","date":"2019-01-22","arxiv_id":"1901.07213","repositories_listed":0,"syntology":null},{"url":null,"slug":"design-of-real-time-semantic-segmentation","title":"Design of Real-time Semantic Segmentation Decoder for Automated Driving","date":"2019-01-19","arxiv_id":"1901.06580","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-manifold-regularized-multi-task-learning","title":"A Manifold Regularized Multi-Task Learning Model for IQ Prediction from Multiple fMRI Paradigms","date":"2019-01-17","arxiv_id":"1901.05913","repositories_listed":0,"syntology":null},{"url":null,"slug":"auxnet-auxiliary-tasks-enhanced-semantic","title":"AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving","date":"2019-01-17","arxiv_id":"1901.05808","repositories_listed":0,"syntology":null},{"url":null,"slug":"location-centered-house-price-prediction-a","title":"Location-Centered House Price Prediction: A Multi-Task Learning Approach","date":"2019-01-07","arxiv_id":"1901.01774","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-distance-map-regularized-cnn-for-cardiac","title":"A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation","date":"2019-01-04","arxiv_id":"1901.01238","repositories_listed":0,"syntology":null},{"url":null,"slug":"relative-geometry-aware-siamese-neural","title":"Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization","date":"2019-01-04","arxiv_id":"1901.01049","repositories_listed":0,"syntology":null},{"url":null,"slug":"speaker-adaptation-for-end-to-end-ctc-models","title":"Speaker Adaptation for End-to-End CTC Models","date":"2019-01-04","arxiv_id":"1901.01239","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-active-learning-framework-for-efficient","title":"An Active Learning Framework for Efficient Robust Policy Search","date":"2019-01-01","arxiv_id":"1901.00117","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-neural-joint-model-for-vietnamese-word","title":"A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing","date":"2018-12-30","arxiv_id":"1812.11459","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-prediction-of-patient-workload","title":"Multi-task Prediction of Patient Workload","date":"2018-12-27","arxiv_id":"1901.00746","repositories_listed":0,"syntology":null},{"url":null,"slug":"cnn-based-multi-instance-multi-task-learning","title":"CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients","date":"2018-12-19","arxiv_id":"1812.07764","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-birds-with-one-network-unifying-failure","title":"Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling","date":"2018-12-18","arxiv_id":"1812.07142","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-to-improve-natural","title":"Multi-task learning to improve natural language understanding","date":"2018-12-17","arxiv_id":"1812.06876","repositories_listed":0,"syntology":null},{"url":null,"slug":"identity-enhanced-network-for-facial","title":"Identity-Enhanced Network for Facial Expression Recognition","date":"2018-12-11","arxiv_id":"1812.04207","repositories_listed":0,"syntology":null},{"url":null,"slug":"intelligent-optical-performance-monitor-using","title":"Intelligent optical performance monitor using multi-task learning based artificial neural network","date":"2018-12-10","arxiv_id":"1812.03792","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-multi-task-learning-approach-to-skin","title":"A Deep Multi-task Learning Approach to Skin Lesion Classification","date":"2018-12-09","arxiv_id":"1812.03527","repositories_listed":0,"syntology":null},{"url":null,"slug":"to-reverse-the-gradient-or-not-an-empirical","title":"To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition","date":"2018-12-09","arxiv_id":"1812.03483","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-of-hierarchical-vision","title":"Multi-task Learning of Hierarchical Vision-Language Representation","date":"2018-12-03","arxiv_id":"1812.00500","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-task-deep-learning-model-for-the","title":"A multi-task deep learning model for the classification of Age-related Macular Degeneration","date":"2018-12-02","arxiv_id":"1812.00422","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-transferability-of-representations-in","title":"On the Transferability of Representations in Neural Networks Between Datasets and Tasks","date":"2018-11-29","arxiv_id":"1811.12273","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-level-attention-with-two-stage-multi-task","title":"Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition","date":"2018-11-29","arxiv_id":"1811.12139","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-deep-learning-to-predict-soil","title":"Using deep learning to predict soil properties from regional spectral data","date":"2018-11-29","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-inductive-bias-of-word-character-level","title":"On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition","date":"2018-11-28","arxiv_id":"1812.02308","repositories_listed":0,"syntology":null},{"url":null,"slug":"kernel-based-multi-task-contextual-bandits-in","title":"Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration","date":"2018-11-27","arxiv_id":"1811.10902","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-over-graph-structures","title":"Multi-task Learning over Graph Structures","date":"2018-11-26","arxiv_id":"1811.10211","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-test-time-evidence-to-improve","title":"A Novel Technique for Evidence based Conditional Inference in Deep Neural Networks via Latent Feature Perturbation","date":"2018-11-24","arxiv_id":"1811.09796","repositories_listed":0,"syntology":null},{"url":null,"slug":"reversing-two-stream-networks-with-decoding","title":"Multi-Task Learning of Generalizable Representations for Video Action Recognition","date":"2018-11-20","arxiv_id":"1811.08362","repositories_listed":0,"syntology":null},{"url":null,"slug":"ca3net-contextual-attentional-attribute","title":"CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification","date":"2018-11-19","arxiv_id":"1811.07544","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatial-temporal-multi-task-learning-for","title":"Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction","date":"2018-11-16","arxiv_id":"1811.06665","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-and-scalable-multi-task-regression","title":"Efficient and Scalable Multi-task Regression on Massive Number of Tasks","date":"2018-11-14","arxiv_id":"1811.05695","repositories_listed":0,"syntology":null},{"url":null,"slug":"co-representation-learning-for-classification","title":"Co-Representation Learning For Classification and Novel Class Detection via Deep Networks","date":"2018-11-13","arxiv_id":"1811.05141","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-for-joint-language","title":"Multi-task learning for Joint Language Understanding and Dialogue State Tracking","date":"2018-11-13","arxiv_id":"1811.05408","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-task-learning-generation-framework","title":"A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions","date":"2018-11-11","arxiv_id":"1811.07771","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformative-machine-learning","title":"Transformative Machine Learning","date":"2018-11-08","arxiv_id":"1811.03392","repositories_listed":0,"syntology":null},{"url":null,"slug":"off-the-shelf-unsupervised-nmt","title":"Off-the-Shelf Unsupervised NMT","date":"2018-11-06","arxiv_id":"1811.02278","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-span-based-question-answering","title":"Improving Span-based Question Answering Systems with Coarsely Labeled Data","date":"2018-11-05","arxiv_id":"1811.02076","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-shared-dynamics-with-meta-world","title":"Learning Shared Dynamics with Meta-World Models","date":"2018-11-05","arxiv_id":"1811.01741","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-weakly-supervised-data-to-improve","title":"Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation","date":"2018-11-05","arxiv_id":"1811.02050","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-end-to-end-multi-task-learning-model-for","title":"An End-to-End Multi-task Learning Model for Fact Checking","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"explicitly-modeling-case-improves-neural","title":"Explicitly modeling case improves neural dependency parsing","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-np-chunking-with-universal","title":"Investigating NP-Chunking with Universal Dependencies for English","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"language-independent-representor-for-neural","title":"Language-Independent Representor for Neural Machine Translation","date":"2018-11-01","arxiv_id":"1811.00258","repositories_listed":0,"syntology":null},{"url":null,"slug":"linguistic-representations-in-multi-task","title":"Linguistic representations in multi-task neural networks for ellipsis resolution","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tattoo-image-search-at-scale-joint-detection","title":"Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning","date":"2018-11-01","arxiv_id":"1811.00218","repositories_listed":0,"syntology":null},{"url":null,"slug":"team-sweeper-joint-sentence-extraction-and","title":"Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-sentence-encoder-for-english","title":"Universal Sentence Encoder for English","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"when-does-deep-multi-task-learning-work-for","title":"When does deep multi-task learning work for loosely related document classification tasks?","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mammo-a-deep-learning-solution-for","title":"MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis","date":"2018-10-30","arxiv_id":"1811.02661","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-label-multi-task-deep-learning-for","title":"Multi-label Multi-task Deep Learning for Behavioral Coding","date":"2018-10-29","arxiv_id":"1810.12349","repositories_listed":0,"syntology":null},{"url":null,"slug":"k-for-the-price-of-1-parameter-efficient","title":"K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning","date":"2018-10-25","arxiv_id":"1810.10703","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-diagnosis-and-segmentation","title":"End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging","date":"2018-10-23","arxiv_id":"1810.10117","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-learning-multi-task-communication","title":"Meta-Learning Multi-task Communication","date":"2018-10-23","arxiv_id":"1810.09988","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-multi-domain-learning-for-cancer","title":"Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data","date":"2018-10-22","arxiv_id":"1810.09433","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-label-efficiency-through-multi-task","title":"Improving label efficiency through multi-task learning on auditory data","date":"2018-10-22","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-inductive-bias-of-word-character-level-1","title":"On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition","date":"2018-10-22","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"optical-font-recognition-in-smartphone","title":"Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection","date":"2018-10-18","arxiv_id":"1810.08016","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-one-stop-solution-to-both-aspect","title":"Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning","date":"2018-10-14","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"listening-for-sirens-locating-and-classifying","title":"Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes","date":"2018-10-11","arxiv_id":"1810.04989","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-inference-for-aspect-and-opinion-terms","title":"Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks","date":"2018-10-10","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-for-domain-general-spoken","title":"Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems","date":"2018-10-08","arxiv_id":"1810.03352","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-topic-argument-mining-from-1","title":"Cross-topic Argument Mining from Heterogeneous Sources","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-named-entity-recognition-as-an","title":"Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-the-role-of-argumentation-in","title":"Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-representations-for-sentiment","title":"Learning representations for sentiment classification using Multi-task framework","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mcapsnet-capsule-network-for-text-with-multi","title":"MCapsNet: Capsule Network for Text with Multi-Task Learning","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"model-transfer-with-explicit-knowledge-of-the","title":"Model Transfer with Explicit Knowledge of the Relation between Class Definitions","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"personalized-microblog-sentiment","title":"Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-news-headline-popularity-with","title":"Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentiment-expression-boundaries-in-sentiment","title":"Sentiment Expression Boundaries in Sentiment Polarity Classification","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"three-strategies-to-improve-one-to-many","title":"Three Strategies to Improve One-to-Many Multilingual Translation","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-and-multi-task-learning-for","title":"Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/transferring-from-formal-newswire-domain-with","slug":"transferring-from-formal-newswire-domain-with","title":"Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging","date":"2018-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-adaptive-learning-for-writer","title":"Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images","date":"2018-09-28","arxiv_id":"1809.10954","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-multi-task-and-transfer-learning-to","title":"Using Multi-task and Transfer Learning to Solve Working Memory Tasks","date":"2018-09-28","arxiv_id":"1809.10847","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-image-stream-classification-via","title":"Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics","date":"2018-09-27","arxiv_id":"1810.03966","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-analytic-theory-of-generalization-dynamics","title":"An analytic theory of generalization dynamics and transfer learning in deep linear networks","date":"2018-09-27","arxiv_id":"1809.10374","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-for-financial-forecasting","title":"Multi-task Learning for Financial Forecasting","date":"2018-09-27","arxiv_id":"1809.10336","repositories_listed":0,"syntology":null}],"record_sha256":"32b7e721304bc34485a6417ebdcd6d9193fb5e593ca3b1154859f6830f19d52e","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}