{"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/classification/papers/54","list_of":"/task/classification","task":"General Classification","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":54,"pages_in_order":146,"rows_per_page":100,"rows":[5301,5400],"of":14581,"counts":{"archive_papers_tagged":14581,"with_a_code_link":3945,"where_syntology_ran_a_sample":713,"not_listed_spam_title":0,"listed":14581,"listed_where_code_ran":713,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":560,"every_run_a_failure_of_syntologys_instrument":153,"listed_with_a_run_with_no_instrument_failure":560,"listed_every_run_a_failure_of_syntologys_instrument":153,"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/classification","prev":"/task/classification/papers/53","next":"/task/classification/papers/55","papers":[{"url":null,"slug":"joint-visual-and-temporal-consistency-for","title":"Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification","date":"2020-07-21","arxiv_id":"2007.10854","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-label-thoracic-disease-image","title":"Multi-label Thoracic Disease Image Classification with Cross-Attention Networks","date":"2020-07-21","arxiv_id":"2007.10859","repositories_listed":0,"syntology":null},{"url":null,"slug":"distractor-aware-neuron-intrinsic-learning","title":"Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications","date":"2020-07-20","arxiv_id":"2007.09979","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-hierarchical-graph-classification-with","title":"Robust Hierarchical Graph Classification with Subgraph Attention","date":"2020-07-19","arxiv_id":"2007.10908","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-distributionally-robust-approach-to-fair","title":"A Distributionally Robust Approach to Fair Classification","date":"2020-07-18","arxiv_id":"2007.09530","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-phenotyping-via-cell-auto-training","title":"Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform","date":"2020-07-18","arxiv_id":"2007.09471","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-diabetic-retinopathy-via","title":"Classification of Diabetic Retinopathy via Fundus Photography: Utilization of Deep Learning Approaches to Speed up Disease Detection","date":"2020-07-18","arxiv_id":"2007.09478","repositories_listed":0,"syntology":null},{"url":null,"slug":"facehop-a-light-weight-low-resolution-face","title":"FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method","date":"2020-07-18","arxiv_id":"2007.09510","repositories_listed":0,"syntology":null},{"url":null,"slug":"mix-em-unsupervised-image-classification","title":"MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings","date":"2020-07-18","arxiv_id":"2007.09502","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-neural-networks-with-spatial","title":"Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification","date":"2020-07-18","arxiv_id":"2007.09337","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-technical-report-for-vipriors-image","title":"A Technical Report for VIPriors Image Classification Challenge","date":"2020-07-17","arxiv_id":"2007.08722","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-task-sampling-for-meta-learning","title":"Adaptive Task Sampling for Meta-Learning","date":"2020-07-17","arxiv_id":"2007.08735","repositories_listed":0,"syntology":null},{"url":null,"slug":"impact-of-base-dataset-design-on-few-shot","title":"Impact of base dataset design on few-shot image classification","date":"2020-07-17","arxiv_id":"2007.08872","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-with-reduced-precision-of-a-support","title":"Training with reduced precision of a support vector machine model for text classification","date":"2020-07-17","arxiv_id":"2007.08657","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-and-diagnosing-vulnerability","title":"Understanding and Diagnosing Vulnerability under Adversarial Attacks","date":"2020-07-17","arxiv_id":"2007.08716","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-representation-learning-for","title":"Self-Supervised Learning of Context-Aware Pitch Prosody Representations","date":"2020-07-17","arxiv_id":"2007.09060","repositories_listed":0,"syntology":null},{"url":null,"slug":"camera-bias-in-a-fine-grained-classification","title":"Camera Bias in a Fine Grained Classification Task","date":"2020-07-16","arxiv_id":"2007.08574","repositories_listed":0,"syntology":null},{"url":null,"slug":"conformal-rule-based-multi-label","title":"Conformal Rule-Based Multi-label Classification","date":"2020-07-16","arxiv_id":"2007.08145","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-analysis-of-generalization-error","title":"Large scale analysis of generalization error in learning using margin based classification methods","date":"2020-07-16","arxiv_id":"2007.10112","repositories_listed":0,"syntology":null},{"url":null,"slug":"layer-wise-adaptive-updating-for-few-shot","title":"Layer-Wise Adaptive Updating for Few-Shot Image Classification","date":"2020-07-16","arxiv_id":"2007.08129","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-pruning-for-semantic-segmentation","title":"MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks","date":"2020-07-16","arxiv_id":"2007.08386","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-ensemble-of-convolutional-neural-networks","title":"An Ensemble of Convolutional Neural Networks for Audio Classification","date":"2020-07-15","arxiv_id":"2007.07966","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-neural-network-classification","title":"Evaluation of Neural Network Classification Systems on Document Stream","date":"2020-07-15","arxiv_id":"2007.07547","repositories_listed":0,"syntology":null},{"url":null,"slug":"presentation-of-a-recommender-system-with","title":"Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens","date":"2020-07-15","arxiv_id":"2008.01192","repositories_listed":0,"syntology":null},{"url":null,"slug":"proof-of-concept-automatic-type-recognition","title":"Proof of Concept: Automatic Type Recognition","date":"2020-07-15","arxiv_id":"2007.07690","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-notary-in-the-haystack-countering-class","title":"The Notary in the Haystack -- Countering Class Imbalance in Document Processing with CNNs","date":"2020-07-15","arxiv_id":"2007.07943","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-class-of-conjugate-priors-for-multinomial","title":"A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One","date":"2020-07-14","arxiv_id":"2007.06944","repositories_listed":0,"syntology":null},{"url":null,"slug":"add-a-sidenet-to-your-mainnet","title":"Add a SideNet to your MainNet","date":"2020-07-14","arxiv_id":"2007.13512","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-attacks-against-neural-networks","title":"Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components","date":"2020-07-14","arxiv_id":"2007.07001","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-examples-and-metrics","title":"Adversarial Examples and Metrics","date":"2020-07-14","arxiv_id":"2007.06993","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-for-offensive-security","title":"Machine Learning for Offensive Security: Sandbox Classification Using Decision Trees and Artificial Neural Networks","date":"2020-07-14","arxiv_id":"2007.06763","repositories_listed":0,"syntology":null},{"url":null,"slug":"srdcnn-strongly-regularized-deep-convolution","title":"SRDCNN: Strongly Regularized Deep Convolution Neural Network Architecture for Time-series Sensor Signal Classification Tasks","date":"2020-07-14","arxiv_id":"2007.06909","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-enhanced-text-classification-to-explore","title":"An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets","date":"2020-07-13","arxiv_id":"2007.06511","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-interpretable-baseline-for-time-series","title":"GeoStat Representations of Time Series for Fast Classification","date":"2020-07-13","arxiv_id":"2007.06682","repositories_listed":0,"syntology":null},{"url":null,"slug":"embedded-deep-bilinear-interactive","title":"Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning","date":"2020-07-13","arxiv_id":"2007.06143","repositories_listed":0,"syntology":null},{"url":null,"slug":"expert-training-task-hardness-aware-meta","title":"Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification","date":"2020-07-13","arxiv_id":"2007.06240","repositories_listed":0,"syntology":null},{"url":null,"slug":"gender-classification-and-bias-mitigation-in","title":"Gender Classification and Bias Mitigation in Facial Images","date":"2020-07-13","arxiv_id":"2007.06141","repositories_listed":0,"syntology":null},{"url":null,"slug":"implicit-bias-in-deep-linear-classification","title":"Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy","date":"2020-07-13","arxiv_id":"2007.06738","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-p300-speller-performance-by-means","title":"Improving P300 Speller performance by means of optimization and machine learning","date":"2020-07-13","arxiv_id":"2007.06411","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-and-exploiting-interclass-visual","title":"Learning and Exploiting Interclass Visual Correlations for Medical Image Classification","date":"2020-07-13","arxiv_id":"2007.06371","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-differential-diagnosis-of-skin","title":"Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks","date":"2020-07-13","arxiv_id":"2007.06666","repositories_listed":0,"syntology":null},{"url":null,"slug":"location-aware-box-reasoning-for-anchor-based","title":"Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection","date":"2020-07-13","arxiv_id":"2007.06233","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-study-on-polyp-classification","title":"A Comparative Study on Polyp Classification using Convolutional Neural Networks","date":"2020-07-12","arxiv_id":"2007.06071","repositories_listed":0,"syntology":null},{"url":null,"slug":"entanglement-and-tensor-networks-for","title":"Entanglement and Tensor Networks for Supervised Image Classification","date":"2020-07-12","arxiv_id":"2007.06082","repositories_listed":0,"syntology":null},{"url":null,"slug":"fruit-classification-using-deep-feature-maps","title":"Fruit classification using deep feature maps in the presence of deceptive similar classes","date":"2020-07-12","arxiv_id":"2007.05942","repositories_listed":0,"syntology":null},{"url":null,"slug":"coarse-to-fine-pseudo-labeling-guided-meta","title":"Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding","date":"2020-07-11","arxiv_id":"2007.05675","repositories_listed":0,"syntology":null},{"url":null,"slug":"m-evolve-structural-mapping-based-data","title":"M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification","date":"2020-07-11","arxiv_id":"2007.05700","repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-backdoor-attacks-in-lstm-based","title":"Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification","date":"2020-07-11","arxiv_id":"2007.12070","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-extensions-for-the","title":"Transfer learning extensions for the probabilistic classification vector machine","date":"2020-07-11","arxiv_id":"2007.07090","repositories_listed":0,"syntology":null},{"url":null,"slug":"usefulness-of-interpretability-methods-to","title":"Usefulness of interpretability methods to explain deep learning based plant stress phenotyping","date":"2020-07-11","arxiv_id":"2007.05729","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-regression-and","title":"Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images","date":"2020-07-10","arxiv_id":"2007.05295","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-big-data-based-cnn-models-in","title":"Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma","date":"2020-07-10","arxiv_id":"2007.05446","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-classification-under-class-dependent","title":"Robust Classification under Class-Dependent Domain Shift","date":"2020-07-10","arxiv_id":"2007.05335","repositories_listed":0,"syntology":null},{"url":null,"slug":"to-ban-or-not-to-ban-bayesian-attention","title":"To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection","date":"2020-07-10","arxiv_id":"2007.05304","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-on-attributed-graphs-via","title":"Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation","date":"2020-07-09","arxiv_id":"2007.05003","repositories_listed":0,"syntology":null},{"url":null,"slug":"capturing-scattered-discriminative","title":"Capturing scattered discriminative information using a deep architecture in acoustic scene classification","date":"2020-07-09","arxiv_id":"2007.04631","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-is-enough-task-augmented-active-meta","title":"Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification","date":"2020-07-09","arxiv_id":"2007.05009","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-theoretic-approach-to-navigation","title":"Information-Theoretic Approach to Navigation for Efficient Detection and Classification of Underwater Objects","date":"2020-07-09","arxiv_id":"2007.05072","repositories_listed":0,"syntology":null},{"url":null,"slug":"pollen13k-a-large-scale-microscope-pollen","title":"Pollen13K: A Large Scale Microscope Pollen Grain Image Dataset","date":"2020-07-09","arxiv_id":"2007.04690","repositories_listed":0,"syntology":null},{"url":null,"slug":"predictive-value-generalization-bounds","title":"Predictive Value Generalization Bounds","date":"2020-07-09","arxiv_id":"2007.05073","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-nearest-neighbor-characterization-of","title":"A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces","date":"2020-07-08","arxiv_id":"2007.03937","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-and-leveraging-predictive","title":"Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment","date":"2020-07-08","arxiv_id":"2007.04258","repositories_listed":0,"syntology":null},{"url":null,"slug":"auto-cash-autonomous-classification-algorithm","title":"Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network","date":"2020-07-07","arxiv_id":"2007.03254","repositories_listed":0,"syntology":null},{"url":null,"slug":"c2g-net-exploiting-morphological-properties","title":"C2G-Net: Exploiting Morphological Properties for Image Classification","date":"2020-07-07","arxiv_id":"2007.03378","repositories_listed":0,"syntology":null},{"url":null,"slug":"multivariate-time-series-classification-using-2","title":"Multivariate Time Series Classification Using Spiking Neural Networks","date":"2020-07-07","arxiv_id":"2007.03547","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-contextual-embeddings-for-address","title":"Deep Contextual Embeddings for Address Classification in E-commerce","date":"2020-07-06","arxiv_id":"2007.03020","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-apple-diseases","title":"Deep Learning for Apple Diseases: Classification and Identification","date":"2020-07-06","arxiv_id":"2007.02980","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-with-the-sugeno-integral-the","title":"Machine Learning with the Sugeno Integral: The Case of Binary Classification","date":"2020-07-06","arxiv_id":"2007.03046","repositories_listed":0,"syntology":null},{"url":null,"slug":"am-gcn-adaptive-multi-channel-graph","title":"AM-GCN: Adaptive Multi-channel Graph Convolutional Networks","date":"2020-07-05","arxiv_id":"2007.02265","repositories_listed":0,"syntology":null},{"url":null,"slug":"estimation-of-ground-contacts-from-human-gait","title":"Estimation of Ground Contacts from Human Gait by a Wearable Inertial Measurement Unit using machine learning","date":"2020-07-05","arxiv_id":"2007.02433","repositories_listed":0,"syntology":null},{"url":null,"slug":"building-a-competitive-associative-classifier","title":"Building a Competitive Associative Classifier","date":"2020-07-04","arxiv_id":"2007.01972","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-data-augmentation-towards-better","title":"Text Data Augmentation: Towards better detection of spear-phishing emails","date":"2020-07-04","arxiv_id":"2007.02033","repositories_listed":0,"syntology":null},{"url":null,"slug":"selecting-regions-of-interest-in-large-multi","title":"Selecting Regions of Interest in Large Multi-Scale Images for Cancer Pathology","date":"2020-07-03","arxiv_id":"2007.01866","repositories_listed":0,"syntology":null},{"url":null,"slug":"surrogate-assisted-particle-swarm","title":"Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification","date":"2020-07-03","arxiv_id":"2007.01556","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-bgcapsule-network-for-text","title":"A Novel BGCapsule Network for Text Classification","date":"2020-07-02","arxiv_id":"2007.04302","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-neuroimaging-based","title":"Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review","date":"2020-07-02","arxiv_id":"2007.01285","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-estimation-of-the-anova-mean","title":"Efficient estimation of the ANOVA mean dimension, with an application to neural net classification","date":"2020-07-02","arxiv_id":"2007.01281","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-analysis-based-on-nonnegative-binary","title":"Image Analysis Based on Nonnegative/Binary Matrix Factorization","date":"2020-07-02","arxiv_id":"2007.00889","repositories_listed":0,"syntology":null},{"url":null,"slug":"msa-mil-a-deep-residual-multiple-instance","title":"MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes","date":"2020-07-02","arxiv_id":"2007.00858","repositories_listed":0,"syntology":null},{"url":null,"slug":"outlier-detection-through-null-space-analysis","title":"Outlier Detection through Null Space Analysis of Neural Networks","date":"2020-07-02","arxiv_id":"2007.01263","repositories_listed":0,"syntology":null},{"url":null,"slug":"spectral-spatial-recurrent-convolutional","title":"Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification","date":"2020-07-02","arxiv_id":"2007.01042","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparison-of-identification-methods-of","title":"A Comparison of Identification Methods of Brazilian Music Styles by Lyrics","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-ensemble-learning-framework-based-on-group","title":"An ensemble learning framework based on group decision making","date":"2020-07-01","arxiv_id":"2007.01167","repositories_listed":0,"syntology":null},{"url":null,"slug":"aspect-sentiment-classification-with-document","title":"Aspect Sentiment Classification with Document-level Sentiment Preference Modeling","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"becoming-linguistically-mature-modeling","title":"Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"birre-learning-bidirectional-residual","title":"BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-and-analysis-of-neologisms","title":"Classification and Analysis of Neologisms Produced by Learners of Spanish: Effects of Proficiency and Task","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-based-self-learning-for-weakly","title":"Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"corpus-based-amharic-sentiment-lexicon-1","title":"Corpus based Amharic sentiment lexicon generation","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-unsupervised-sentiment","title":"Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dependency-graph-enhanced-dual-transformer","title":"Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-adaptation-and-instance-selection-for","title":"Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"entity-aware-dependency-based-deep-graph","title":"Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-limits-of-simple-learners-in","title":"Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-projection-for-improved-text","title":"Feature Projection for Improved Text Classification","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hact-net-a-hierarchical-cell-to-tissue-graph","title":"HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification","date":"2020-07-01","arxiv_id":"2007.00584","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchy-aware-global-model-for-hierarchical","title":"Hierarchy-Aware Global Model for Hierarchical Text Classification","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"human-attention-maps-for-text-classification","title":"Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hyperbolic-capsule-networks-for-multi-label","title":"Hyperbolic Capsule Networks for Multi-Label Classification","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"implicit-discourse-relation-classification-we","title":"Implicit Discourse Relation Classification: We Need to Talk about Evaluation","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"79ef963389ea687ca68b6e21d4d837f41d888a28a0aef898c084460a4fc67241","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}