{"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/24","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":24,"pages_in_order":37,"rows_per_page":100,"rows":[2301,2400],"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/23","next":"/task/multi-task-learning/papers/25","papers":[{"url":null,"slug":"challenges-in-covid-19-chest-x-ray","title":"Self-Supervision and Multi-Task Learning: Challenges in Fine-Grained COVID-19 Multi-Class Classification from Chest X-rays","date":"2022-01-16","arxiv_id":"2201.06052","repositories_listed":0,"syntology":null},{"url":null,"slug":"database-search-results-disambiguation-for-1","title":"Database Search Results Disambiguation for Task-Oriented Dialog Systems","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-denoising-entity-pre-training-for-neural-1","title":"DEEP: DEnoising Entity Pre-training for Neural Machine Translation","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evidentiality-guided-generation-for-knowledge-1","title":"Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hcl-mtc-hierarchical-contrastive-learning-for","title":"HCL-MTC Hierarchical Contrastive Learning for Multi-label Text Classification","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"in-boxbart-get-instructions-into-biomedical","title":"In-BoXBART: Get Instructions into Biomedical Multi-task Learning","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"in-situ-answer-sentence-selection-at-web","title":"In Situ Answer Sentence Selection at Web-scale","date":"2022-01-16","arxiv_id":"2201.05984","repositories_listed":0,"syntology":null},{"url":null,"slug":"let-the-model-decide-its-curriculum-for","title":"Let the Model Decide its Curriculum for Multitask Learning","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"metaicl-learning-to-learn-in-context-1","title":"MetaICL: Learning to Learn In Context","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-scatterer-number-density-segmentation","title":"Robust Scatterer Number Density Segmentation of Ultrasound Images","date":"2022-01-16","arxiv_id":"2201.06143","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparsely-activated-mixture-of-experts-are","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vil-sum-enhancing-vision-and-language","title":"ViL-Sum: Enhancing Vision and Language Representations via Multi-task Learning for Multi-modal Summarization","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"xltime-a-cross-lingual-knowledge-transfer-1","title":"XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-multi-task-learning-method-for","title":"A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition","date":"2022-01-15","arxiv_id":"2201.05782","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-representation-learning-in-multi","title":"Multi-View representation learning in Multi-Task Scene","date":"2022-01-15","arxiv_id":"2201.05829","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-of-transducer-based-end-to-end-asr","title":"A Study of Transducer based End-to-End ASR with ESPnet: Architecture, Auxiliary Loss and Decoding Strategies","date":"2022-01-14","arxiv_id":"2201.05420","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modal-asr-post-processing-system-for","title":"Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection","date":"2022-01-10","arxiv_id":"2201.03313","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-and-few-shot-classification-of","title":"Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic","date":"2022-01-09","arxiv_id":"2201.03017","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-multi-tasks-with-inconsistent-labels","title":"Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task","date":"2022-01-07","arxiv_id":"2201.02305","repositories_listed":0,"syntology":null},{"url":null,"slug":"aerial-scene-parsing-from-tile-level-scene","title":"Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling","date":"2022-01-06","arxiv_id":"2201.01953","repositories_listed":0,"syntology":null},{"url":null,"slug":"over-the-air-multi-task-federated-learning","title":"Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels","date":"2021-12-27","arxiv_id":"2112.13603","repositories_listed":0,"syntology":null},{"url":null,"slug":"database-search-results-disambiguation-for","title":"Database Search Results Disambiguation for Task-Oriented Dialog Systems","date":"2021-12-15","arxiv_id":"2112.08351","repositories_listed":0,"syntology":null},{"url":null,"slug":"findings-on-conversation-disentanglement","title":"Findings on Conversation Disentanglement","date":"2021-12-10","arxiv_id":"2112.05346","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequence-level-self-learning-with-multiple","title":"Sequence-level self-learning with multiple hypotheses","date":"2021-12-10","arxiv_id":"2112.05826","repositories_listed":0,"syntology":null},{"url":null,"slug":"new-tight-relaxations-of-rank-minimization","title":"New Tight Relaxations of Rank Minimization for Multi-Task Learning","date":"2021-12-09","arxiv_id":"2112.04734","repositories_listed":0,"syntology":null},{"url":null,"slug":"comps-continual-meta-policy-search-1","title":"CoMPS: Continual Meta Policy Search","date":"2021-12-08","arxiv_id":"2112.04467","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-on-networks","title":"Multi-Task Learning on Networks","date":"2021-12-07","arxiv_id":"2112.04891","repositories_listed":0,"syntology":null},{"url":null,"slug":"matmat-matrix-factorization-by-matrix-fitting","title":"MatMat: Matrix Factorization by Matrix Fitting","date":"2021-12-06","arxiv_id":"2112.03089","repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-text-classification-for","title":"Multilingual Text Classification for Dravidian Languages","date":"2021-12-03","arxiv_id":"2112.01705","repositories_listed":0,"syntology":null},{"url":null,"slug":"total-scale-face-to-body-detail","title":"Geometry-aware Two-scale PIFu Representation for Human Reconstruction","date":"2021-12-03","arxiv_id":"2112.02082","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-in-conversational-analysis","title":"Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors","date":"2021-12-02","arxiv_id":"2112.03032","repositories_listed":0,"syntology":null},{"url":null,"slug":"argmax-centroid","title":"argmax centroid","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-for-improving-gender","title":"Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"forecasting-battery-capacity-and-power","title":"Forecasting battery capacity and power degradation with multi-task learning","date":"2021-11-29","arxiv_id":"2111.14937","repositories_listed":0,"syntology":null},{"url":null,"slug":"harnessing-expressive-capacity-of-machine","title":"Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes","date":"2021-11-29","arxiv_id":"2111.14998","repositories_listed":0,"syntology":null},{"url":null,"slug":"sharing-to-learn-and-learning-to-share","title":"Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review","date":"2021-11-23","arxiv_id":"2111.12146","repositories_listed":0,"syntology":null},{"url":"/paper/myope-models-are-face-presentation-attack","slug":"myope-models-are-face-presentation-attack","title":"Myope Models -- Are face presentation attack detection models short-sighted?","date":"2021-11-22","arxiv_id":"2111.11127","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometry-aware-multi-task-learning-for","title":"Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video","date":"2021-11-21","arxiv_id":"2111.10882","repositories_listed":0,"syntology":null},{"url":null,"slug":"safe-multi-task-learning-1","title":"Deep Safe Multi-Task Learning","date":"2021-11-20","arxiv_id":"2111.10601","repositories_listed":0,"syntology":null},{"url":null,"slug":"ufo-a-unified-transformer-for-vision-language","title":"UFO: A UniFied TransfOrmer for Vision-Language Representation Learning","date":"2021-11-19","arxiv_id":"2111.10023","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-task-event-and-argument-trigger","title":"A Multi-task Event and Argument Trigger Detection in Hindi using POS Tagging as an Auxiliary Task","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-multi-task-learning-to-solve","title":"Adversarial multi-task learning to solve holistic semantic polishing problem of Chinese text","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"all-birds-with-one-stone-multi-task-learning","title":"All Birds with One Stone: Multi-task Learning for Inference with One Forward Pass","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"all-in-one-a-multi-task-learning-for-emoji","title":"All in One: A Multi-Task Learning for Emoji, Sentiment and Emotion Analysis in Code-Mixed Text","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cca-mdd-a-coupled-cross-attention-based","title":"CoCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation Detection and Diagnosis","date":"2021-11-16","arxiv_id":"2111.08191","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-named-entity-recognition-via","title":"Cross-domain Named Entity Recognition via Graph Matching","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-dialogue-act-for-knowledge","title":"Exploiting Dialogue Act for Knowledge Selection and Response Generation","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-syntactic-parsing-with-consistency","title":"Improving Syntactic Parsing with Consistency Learning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"inference-time-personalized-federated-1","title":"On-Demand Unlabeled Personalized Federated Learning","date":"2021-11-16","arxiv_id":"2111.08356","repositories_listed":0,"syntology":null},{"url":null,"slug":"lordbert-embedding-long-text-by-segment","title":"LordBERT: Embedding Long Text by Segment Ordering with BERT","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"one-general-teacher-for-multi-data-multi-task","title":"One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-unified-prompt-tuning-for-few-shot","title":"Towards Unified Prompt Tuning for Few-shot Learning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unified-speech-text-pre-training-for-speech","title":"Unified Speech-Text Pre-training for Speech Translation and Recognition","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"utterance-rewriting-with-contrastive-learning","title":"Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"xltime-a-cross-lingual-knowledge-transfer","title":"XLTime: A Cross-Lingual Knowledge Transfer Framework for Zero-Shot Low-Resource Language Temporal Expression Extraction","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-dependency-parsing-with-worst-case","title":"Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-prosody-for-unseen-texts-in-speech","title":"Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data","date":"2021-11-15","arxiv_id":"2111.07549","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-denoising-entity-pre-training-for-neural","title":"DEEP: DEnoising Entity Pre-training for Neural Machine Translation","date":"2021-11-14","arxiv_id":"2111.07393","repositories_listed":0,"syntology":null},{"url":null,"slug":"kronecker-factorization-for-preventing","title":"Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking","date":"2021-11-11","arxiv_id":"2111.06012","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-knowledge-graph-embedding-via","title":"Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning","date":"2021-11-11","arxiv_id":"2111.06103","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-neural-processes-1","title":"Multi-Task Neural Processes","date":"2021-11-10","arxiv_id":"2111.05820","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalization-in-dexterous-manipulation-via","title":"Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning","date":"2021-11-04","arxiv_id":"2111.03062","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-of-order-consistent","title":"Multi-task Learning of Order-Consistent Causal Graphs","date":"2021-11-03","arxiv_id":"2111.02545","repositories_listed":0,"syntology":null},{"url":null,"slug":"unified-3d-mesh-recovery-of-humans-and","title":"Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise","date":"2021-11-03","arxiv_id":"2111.02450","repositories_listed":0,"syntology":null},{"url":null,"slug":"bpm-mt-enhanced-backchannel-prediction-model","title":"BPM_MT: Enhanced Backchannel Prediction Model using Multi-Task Learning","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"come-hither-or-go-away-recognising-pre","title":"Come hither or go away? Recognising pre-electoral coalition signals in the news","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-sentence-embedding-using-multi","title":"Cross-lingual Sentence Embedding using Multi-Task Learning","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generativere-incorporating-a-novel-copy","title":"GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"jump-starting-item-parameters-for-adaptive","title":"Jump-Starting Item Parameters for Adaptive Language Tests","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/knowledge-interactive-network-with-sentiment","slug":"knowledge-interactive-network-with-sentiment","title":"Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"koas-korean-text-offensiveness-analysis","title":"KOAS: Korean Text Offensiveness Analysis System","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-in-argument-mining-for","title":"Multi-task Learning in Argument Mining for Persuasive Online Discussions","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-to-enable-location","title":"Multi-task Learning to Enable Location Mention Identification in the Early Hours of a Crisis Event","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"netmarble-ai-centers-wmt21-automatic-post","title":"Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"papagos-submission-for-the-wmt21-quality","title":"Papago’s Submission for the WMT21 Quality Estimation Shared Task","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"pca-based-multi-task-learning-a-random-matrix","title":"PCA-based Multi Task Learning: a Random Matrix Approach","date":"2021-11-01","arxiv_id":"2111.00924","repositories_listed":0,"syntology":null},{"url":null,"slug":"synchronous-dual-network-with-cross-type","title":"Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"synthetic-data-generation-and-multi-task","title":"Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-based-convolutional","title":"Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow","date":"2021-10-30","arxiv_id":"2111.00328","repositories_listed":0,"syntology":null},{"url":null,"slug":"aligned-multi-task-gaussian-process","title":"Aligned Multi-Task Gaussian Process","date":"2021-10-29","arxiv_id":"2110.15761","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-and-multi-modal-learning-for-rgb","title":"Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition","date":"2021-10-29","arxiv_id":"2110.15639","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-uni-directional-pareto-optimality","title":"Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints","date":"2021-10-28","arxiv_id":"2110.15442","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-task-learning-based-optimization","title":"A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization","date":"2021-10-27","arxiv_id":"2111.00916","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-transfer-algorithmic-reasoning","title":"How to transfer algorithmic reasoning knowledge to learn new algorithms?","date":"2021-10-26","arxiv_id":"2110.14056","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-faceted-hierarchical-multi-task","title":"Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations","date":"2021-10-26","arxiv_id":"2110.13365","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-recurrent-neural-networks-to","title":"Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories","date":"2021-10-23","arxiv_id":"2110.12113","repositories_listed":0,"syntology":null},{"url":null,"slug":"topic-guided-abstractive-multi-document","title":"Topic-Guided Abstractive Multi-Document Summarization","date":"2021-10-21","arxiv_id":"2110.11207","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-distillation-from-language-model-to","title":"Knowledge distillation from language model to acoustic model: a hierarchical multi-task learning approach","date":"2021-10-20","arxiv_id":"2110.10429","repositories_listed":0,"syntology":null},{"url":null,"slug":"simpler-does-it-generating-semantic-labels","title":"Simpler Does It: Generating Semantic Labels with Objectness Guidance","date":"2021-10-20","arxiv_id":"2110.10335","repositories_listed":0,"syntology":null},{"url":null,"slug":"importance-estimation-from-multiple","title":"Importance Estimation from Multiple Perspectives for Keyphrase Extraction","date":"2021-10-19","arxiv_id":"2110.09749","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bayesian-approach-to-multi-task-learning","title":"A Bayesian approach to multi-task learning with network lasso","date":"2021-10-18","arxiv_id":"2110.09040","repositories_listed":0,"syntology":null},{"url":null,"slug":"speech-representation-learning-through-self","title":"Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning","date":"2021-10-18","arxiv_id":"2110.09930","repositories_listed":0,"syntology":null},{"url":null,"slug":"pareto-navigation-gradient-descent-a-first-1","title":"Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set","date":"2021-10-17","arxiv_id":"2110.08713","repositories_listed":0,"syntology":null},{"url":null,"slug":"botstalk-machine-sourced-framework-for","title":"BotsTalk: Machine-Sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets","date":"2021-10-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-multi-task-representation-for","title":"Collaborative Multi-Task Representation for Natural Language Understanding","date":"2021-10-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-generating-identifiable-virtual-faces","title":"On Generating Identifiable Virtual Faces","date":"2021-10-15","arxiv_id":"2110.07986","repositories_listed":0,"syntology":null},{"url":null,"slug":"tricks-for-training-sparse-translation-models","title":"Tricks for Training Sparse Translation Models","date":"2021-10-15","arxiv_id":"2110.08246","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-multi-task-learning-for","title":"Semi-supervised Multi-task Learning for Semantics and Depth","date":"2021-10-14","arxiv_id":"2110.07197","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-learning-on-the-hierarchy","title":"Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition","date":"2021-10-12","arxiv_id":"2110.05853","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-for-situated-multi-domain","title":"Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems","date":"2021-10-11","arxiv_id":"2110.05221","repositories_listed":0,"syntology":null}],"record_sha256":"f0ecb4795a4443ad90428aec6821ea1ab4514d943b1e38e6ef04eba39d989f63","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}