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← Machine Learning
Machine Learning ›

Application Areas

31,658 papers (3 classified directly here)

Subtopics

Domain Adaptation (8,962) Efficient Computing (6,898) Data Augmentation (3,720) Fairness (3,511) Knowledge Distillation (3,086) Privacy (2,847) Domain Generalization (1,834) Model Compression (1,718) Risk Management (1,064) Model Merging (558) Recommender Systems (315) Information Retrieval (244) Text Classification (139) Text Processing (5)

Papers per year

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Papers (including subtopics)

Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research JMLR 2018
ThunderSVM: A Fast SVM Library on GPUs and CPUs JMLR 2018
A Direct Approach for Sparse Quadratic Discriminant Analysis JMLR 2018
Invariant Models for Causal Transfer Learning JMLR 2018
The xyz algorithm for fast interaction search in high-dimensional data JMLR 2018
Boosted Trees for Risk Prognosis MLHC 2018
Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings MLHC 2018
Deep EHR: Chronic Disease Prediction Using Medical Notes MLHC 2018
Racial Disparities and Mistrust in End-of-Life Care MLHC 2018
Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation NAACL 2018
Automated Essay Scoring in the Presence of Biased Ratings NAACL 2018
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse NAACL 2018
Learning Domain Representation for Multi-Domain Sentiment Classification NAACL 2018
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task NAACL 2018
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction NAACL 2018
Efficient Sequence Learning with Group Recurrent Networks NAACL 2018
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation NAACL 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference NAACL 2018
Multinomial Adversarial Networks for Multi-Domain Text Classification NAACL 2018
Pivot Based Language Modeling for Improved Neural Domain Adaptation NAACL 2018
Reusing Weights in Subword-Aware Neural Language Models NAACL 2018
Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation NAACL 2018
Spotting Spurious Data with Neural Networks NAACL 2018
Binarized LSTM Language Model NAACL 2018
Object Counts! Bringing Explicit Detections Back into Image Captioning NAACL 2018