{"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/transfer-learning/papers/97","list_of":"/task/transfer-learning","task":"Transfer 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":97,"pages_in_order":104,"rows_per_page":100,"rows":[9601,9700],"of":10307,"counts":{"archive_papers_tagged":10307,"with_a_code_link":3502,"where_syntology_ran_a_sample":692,"not_listed_spam_title":0,"listed":10307,"listed_where_code_ran":692,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":563,"every_run_a_failure_of_syntologys_instrument":129,"listed_with_a_run_with_no_instrument_failure":563,"listed_every_run_a_failure_of_syntologys_instrument":129,"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/transfer-learning","prev":"/task/transfer-learning/papers/96","next":"/task/transfer-learning/papers/98","papers":[{"url":"/paper/financial-aspect-based-sentiment-analysis","slug":"financial-aspect-based-sentiment-analysis","title":"Financial Aspect-Based Sentiment Analysis using Deep Representations","date":"2018-08-23","arxiv_id":"1808.07931","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-estimating-causal","title":"Transfer Learning for Estimating Causal Effects using Neural Networks","date":"2018-08-23","arxiv_id":"1808.07804","repositories_listed":0,"syntology":null},{"url":null,"slug":"multidomain-document-layout-understanding","title":"Multidomain Document Layout Understanding using Few Shot Object Detection","date":"2018-08-22","arxiv_id":"1808.07330","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-jigsaw-unsupervised-learning-of","title":"Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition","date":"2018-08-22","arxiv_id":"1808.07507","repositories_listed":0,"syntology":null},{"url":"/paper/neural-relation-extraction-via-inner-sentence","slug":"neural-relation-extraction-via-inner-sentence","title":"Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning","date":"2018-08-21","arxiv_id":"1808.06738","repositories_listed":0,"syntology":null},{"url":null,"slug":"deesil-deep-shallow-incremental-learning","title":"DeeSIL: Deep-Shallow Incremental Learning","date":"2018-08-20","arxiv_id":"1808.06396","repositories_listed":0,"syntology":null},{"url":null,"slug":"celllinenet-end-to-end-learning-and-transfer","title":"CellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network","date":"2018-08-18","arxiv_id":"1808.06041","repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-pressure-ulcer-prevention-an","title":"Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers","date":"2018-08-17","arxiv_id":"1808.06503","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-and-organic-computing-for","title":"Transfer Learning and Organic Computing for Autonomous Vehicles","date":"2018-08-16","arxiv_id":"1808.05443","repositories_listed":0,"syntology":null},{"url":null,"slug":"building-medical-image-classifiers-with-very","title":"Building medical image classifiers with very limited data using segmentation networks","date":"2018-08-15","arxiv_id":"1808.05205","repositories_listed":0,"syntology":null},{"url":null,"slug":"ensemble-of-convolutional-neural-networks-for-1","title":"Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification","date":"2018-08-15","arxiv_id":"1808.05071","repositories_listed":0,"syntology":null},{"url":null,"slug":"vendor-independent-soft-tissue-lesion","title":"Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation","date":"2018-08-14","arxiv_id":"1808.04909","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-transfer-learning-based-feature-weak","title":"A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering","date":"2018-08-13","arxiv_id":"1808.04068","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-plaque-detection-in-ivoct-pullbacks","title":"Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks","date":"2018-08-13","arxiv_id":"1808.04187","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-learning-of-sentence","title":"Unsupervised Learning of Sentence Representations Using Sequence Consistency","date":"2018-08-10","arxiv_id":"1808.04217","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-occams-razor-view-on-learning-audiovisual","title":"An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets","date":"2018-08-08","arxiv_id":"1808.02668","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-enhanced-common-spatial","title":"Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach","date":"2018-08-08","arxiv_id":"1808.05853","repositories_listed":0,"syntology":null},{"url":null,"slug":"detection-and-segmentation-of-manufacturing","title":"Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning","date":"2018-08-07","arxiv_id":"1808.02518","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-label-zero-shot-learning-with-transfer","title":"Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection","date":"2018-08-07","arxiv_id":"1808.02474","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-deep-transfer-learning","title":"A Survey on Deep Transfer Learning","date":"2018-08-06","arxiv_id":"1808.01974","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-transfer-learning-for-eeg-based-brain","title":"Deep Transfer Learning for EEG-based Brain Computer Interface","date":"2018-08-06","arxiv_id":"1808.01752","repositories_listed":0,"syntology":null},{"url":null,"slug":"autoencoder-based-sample-selection-for-self","title":"Autoencoder Based Sample Selection for Self-Taught Learning","date":"2018-08-05","arxiv_id":"1808.01574","repositories_listed":0,"syntology":null},{"url":null,"slug":"smart-city-development-with-urban-transfer","title":"Smart City Development with Urban Transfer Learning","date":"2018-08-05","arxiv_id":"1808.01552","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-model-supervision-for-handwriting","title":"Language Model Supervision for Handwriting Recognition Model Adaptation","date":"2018-08-04","arxiv_id":"1808.01423","repositories_listed":0,"syntology":null},{"url":null,"slug":"convolutional-neural-network-for-universal","title":"Convolutional Neural Network for Universal Sentence Embeddings","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-as-a-bridge-improving-cross-domain","title":"Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-multilingual-topics-from-1","title":"Learning Multilingual Topics from Incomparable Corpora","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-progressively-recognize-new-named","title":"Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-and-multi-lingual-joint-learning","title":"Multi-task and Multi-lingual Joint Learning of Neural Lexical Utterance Classification based on Partially-shared Modeling","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"trac-1-shared-task-on-aggression","title":"TRAC-1 Shared Task on Aggression Identification: IIT(ISM)@COLING'18","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-a-letter-ngrams-to-word","title":"Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transferred-embeddings-for-igbo-similarity","title":"Transferred Embeddings for Igbo Similarity, Analogy, and Diacritic Restoration Tasks","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-neural-transfer-learning-for-morpho","title":"Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-spatiotemporal-self-supervision-by","title":"Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning","date":"2018-07-30","arxiv_id":"1807.11293","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-transferability-of-deep-neural","title":"Improving Transferability of Deep Neural Networks","date":"2018-07-30","arxiv_id":"1807.11459","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-analogies-between-atari-games-for","title":"Visual Analogies between Atari Games for Studying Transfer Learning in RL","date":"2018-07-29","arxiv_id":"1807.11074","repositories_listed":0,"syntology":null},{"url":null,"slug":"do-better-imagenet-models-transfer-better-for","title":"Do Better ImageNet Models Transfer Better... for Image Recommendation?","date":"2018-07-25","arxiv_id":"1807.09870","repositories_listed":0,"syntology":null},{"url":null,"slug":"cream-condensed-real-time-models-for-depth","title":"CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks","date":"2018-07-24","arxiv_id":"1807.08931","repositories_listed":0,"syntology":null},{"url":null,"slug":"asynchronous-advantage-actor-critic-agent-for","title":"Asynchronous Advantage Actor-Critic Agent for Starcraft II","date":"2018-07-22","arxiv_id":"1807.08217","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-paradigm-pretraining-of-convolutional","title":"Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding","date":"2018-07-20","arxiv_id":"1806.09532","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-transfer-learning-for-cross-domain","title":"Deep Transfer Learning for Cross-domain Activity Recognition","date":"2018-07-20","arxiv_id":"1807.07963","repositories_listed":0,"syntology":null},{"url":null,"slug":"surgical-phase-recognition-of-short-video","title":"Surgical Phase Recognition of Short Video Shots Based on Temporal Modeling of Deep Features","date":"2018-07-20","arxiv_id":"1807.07853","repositories_listed":0,"syntology":null},{"url":null,"slug":"bio-measurements-estimation-and-support-in","title":"Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning","date":"2018-07-19","arxiv_id":"1807.07521","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-action-unit-recognition","title":"Transfer Learning for Action Unit Recognition","date":"2018-07-19","arxiv_id":"1807.07556","repositories_listed":0,"syntology":null},{"url":null,"slug":"ct-image-enhancement-using-stacked-generative","title":"CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement","date":"2018-07-18","arxiv_id":"1807.07144","repositories_listed":0,"syntology":null},{"url":null,"slug":"metric-embedding-autoencoders-for","title":"Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning","date":"2018-07-18","arxiv_id":"1807.10591","repositories_listed":0,"syntology":null},{"url":"/paper/learning-transferable-deep-models-for-land","slug":"learning-transferable-deep-models-for-land","title":"Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models","date":"2018-07-16","arxiv_id":"1807.05713","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-single-phase-single-stage-detection","title":"Towards Single-phase Single-stage Detection of Pulmonary Nodules in Chest CT Imaging","date":"2018-07-16","arxiv_id":"1807.05972","repositories_listed":0,"syntology":null},{"url":null,"slug":"state-of-the-art-and-gaps-for-deep-learning","title":"State-of-the-art and gaps for deep learning on limited training data in remote sensing","date":"2018-07-11","arxiv_id":"1807.11573","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-reasoning-systems-pac-and-applied-methods","title":"AI Reasoning Systems: PAC and Applied Methods","date":"2018-07-09","arxiv_id":"1807.05054","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-with-incomplete-data-for","title":"Multi-Task Learning with Incomplete Data for Healthcare","date":"2018-07-06","arxiv_id":"1807.02442","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-more-reliable-transfer-learning","title":"Towards more Reliable Transfer Learning","date":"2018-07-06","arxiv_id":"1807.02235","repositories_listed":0,"syntology":null},{"url":null,"slug":"neonatal-pain-expression-recognition-using","title":"Neonatal Pain Expression Recognition Using Transfer Learning","date":"2018-07-04","arxiv_id":"1807.01631","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-clinical-time-series","title":"Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks","date":"2018-07-04","arxiv_id":"1807.01705","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-from-synthetic-to-real","title":"Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection","date":"2018-07-04","arxiv_id":"1807.01990","repositories_listed":0,"syntology":null},{"url":null,"slug":"balanced-distribution-adaptation-for-transfer","title":"Balanced Distribution Adaptation for Transfer Learning","date":"2018-07-02","arxiv_id":"1807.00516","repositories_listed":0,"syntology":null},{"url":null,"slug":"mammography-dual-view-mass-correspondence","title":"Mammography Dual View Mass Correspondence","date":"2018-07-02","arxiv_id":"1807.00637","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-food-photography-app-with-image-recognition","title":"A Food Photography App with Image Recognition for Thai Food","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/a-helping-hand-transfer-learning-for-deep","slug":"a-helping-hand-transfer-learning-for-deep","title":"A Helping Hand: Transfer Learning for Deep Sentiment Analysis","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-named-entity-recognition-shootout-for","title":"A Named Entity Recognition Shootout for German","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-situated-dialogue-system-for-learning","title":"A Situated Dialogue System for Learning Structural Concepts in Blocks World","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bioama-towards-an-end-to-end-biomedical","title":"BioAMA: Towards an End to End BioMedical Question Answering System","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"coherence-modeling-improves-implicit","title":"Coherence Modeling Improves Implicit Discourse Relation Recognition","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-offensive-tweets-in-hindi-english","title":"Detecting Offensive Tweets in Hindi-English Code-Switched Language","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-transferable-information-across","title":"Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"isomorphic-transfer-of-syntactic-structures","title":"Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"structured-variationally-auto-encoded","title":"Structured Variationally Auto-encoded Optimization","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-via-learning-to-transfer","title":"Transfer Learning via Learning to Transfer","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-random-walk-sentence-embeddings","title":"Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-networks-trained-to-solve-differential","title":"Neural Networks Trained to Solve Differential Equations Learn General Representations","date":"2018-06-29","arxiv_id":"1807.00042","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multimodal-recommender-system-for-large","title":"A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce","date":"2018-06-28","arxiv_id":"1806.11226","repositories_listed":0,"syntology":null},{"url":"/paper/a-probabilistic-constrained-clustering-for","slug":"a-probabilistic-constrained-clustering-for","title":"A probabilistic constrained clustering for transfer learning and image category discovery","date":"2018-06-28","arxiv_id":"1806.11078","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-efficient-lithography-modeling-with","title":"Data Efficient Lithography Modeling with Transfer Learning and Active Data Selection","date":"2018-06-27","arxiv_id":"1807.03257","repositories_listed":0,"syntology":null},{"url":null,"slug":"estimating-bicycle-route-attractivity-from","title":"Estimating Bicycle Route Attractivity from Image Data","date":"2018-06-27","arxiv_id":"1807.03126","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-position-activity-recognition-with","title":"Cross-position Activity Recognition with Stratified Transfer Learning","date":"2018-06-26","arxiv_id":"1806.09776","repositories_listed":0,"syntology":null},{"url":null,"slug":"considerations-for-a-pap-smear-image-analysis","title":"Considerations for a PAP Smear Image Analysis System with CNN Features","date":"2018-06-23","arxiv_id":"1806.09025","repositories_listed":0,"syntology":null},{"url":null,"slug":"zeta-distribution-and-transfer-learning","title":"Zeta Distribution and Transfer Learning Problem","date":"2018-06-23","arxiv_id":"1806.08908","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-adaptation-for-infection-prediction","title":"Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts","date":"2018-06-22","arxiv_id":"1806.08835","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-in-multitask-transfer-learning","title":"Uncertainty in Multitask Transfer Learning","date":"2018-06-20","arxiv_id":"1806.07528","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-with-human-corneal-tissues","title":"Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer","date":"2018-06-19","arxiv_id":"1806.07073","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparison-of-transformer-and-recurrent","title":"A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation","date":"2018-06-18","arxiv_id":"1806.06957","repositories_listed":0,"syntology":null},{"url":null,"slug":"action-learning-for-3d-point-cloud-based","title":"Action Learning for 3D Point Cloud Based Organ Segmentation","date":"2018-06-14","arxiv_id":"1806.05724","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-context-aware-question","title":"Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce","date":"2018-06-14","arxiv_id":"1806.05434","repositories_listed":0,"syntology":null},{"url":null,"slug":"crowd-powered-data-mining","title":"Crowd-Powered Data Mining","date":"2018-06-13","arxiv_id":"1806.04968","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-policy-reuse","title":"Context-Aware Policy Reuse","date":"2018-06-11","arxiv_id":"1806.03793","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-multilingual-topics-from","title":"Learning Multilingual Topics from Incomparable Corpus","date":"2018-06-11","arxiv_id":"1806.04270","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-answer-embeddings-for-visual","title":"Learning Answer Embeddings for Visual Question Answering","date":"2018-06-10","arxiv_id":"1806.03724","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-and-transfer-learning","title":"Semi-supervised and Transfer learning approaches for low resource sentiment classification","date":"2018-06-07","arxiv_id":"1806.02863","repositories_listed":0,"syntology":null},{"url":null,"slug":"state-classification-with-cnn","title":"State Classification with CNN","date":"2018-06-05","arxiv_id":"1806.03973","repositories_listed":0,"syntology":null},{"url":null,"slug":"building-advanced-dialogue-managers-for-goal","title":"Building Advanced Dialogue Managers for Goal-Oriented Dialogue Systems","date":"2018-06-03","arxiv_id":"1806.00780","repositories_listed":0,"syntology":null},{"url":null,"slug":"psychological-state-in-text-a-limitation-of","title":"Psychological State in Text: A Limitation of Sentiment Analysis","date":"2018-06-03","arxiv_id":"1806.00754","repositories_listed":0,"syntology":null},{"url":null,"slug":"study-and-development-of-a-computer-aided","title":"Study and development of a Computer-Aided Diagnosis system for classification of chest x-ray images using convolutional neural networks pre-trained for ImageNet and data augmentation","date":"2018-06-03","arxiv_id":"1806.00839","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-aware-generative-adversarial-nets","title":"Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation","date":"2018-06-02","arxiv_id":"1806.00600","repositories_listed":0,"syntology":null},{"url":null,"slug":"affecthor-at-semeval-2018-task-1-a-cross","title":"AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarks-and-models-for-entity-oriented","title":"Benchmarks and models for entity-oriented polarity detection","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"clear-cumulative-learning-for-one-shot-one","title":"CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"coupled-end-to-end-transfer-learning-with","title":"Coupled End-to-End Transfer Learning With Generalized Fisher Information","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-review-helpfulness-prediction","title":"Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dmcb-at-semeval-2018-task-1-transfer-learning","title":"DMCB at SemEval-2018 Task 1: Transfer Learning of Sentiment Classification Using Group LSTM for Emotion Intensity prediction","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"elisa-edl-a-cross-lingual-entity-extraction","title":"ELISA-EDL: A Cross-lingual Entity Extraction, Linking and Localization System","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"19bcc9482a1e7317fa2dbe8707bc3a6cdf13341e34cbf7917aea8a7dda595e8d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}