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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

Watch Your Step: Learning Node Embeddings via Graph Attention NeurIPS 2018 Waveform-Based Speaker Representations for Speech Synthesis Interspeech 2018 Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks Interspeech 2018 Wavelet Pooling for Convolutional Neural Networks ICLR 2018 Wavelet regression and additive models for irregularly spaced data NeurIPS 2018 Wavelet Transform Based Mel-scaled Features for Acoustic Scene Classification Interspeech 2018 Weakly Supervised Learning of Single-Cell Feature Embeddings CVPR 2018 Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network CVPR 2018 Weakly Supervised Semantic Parsing with Abstract Examples ACL 2018 Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification CVPR 2018 WECA: A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition EMNLP 2018 Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations EMNLP 2018 Weighted Tensor Decomposition for Learning Latent Variables with Partial Data AISTATS 2018 WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling ICLR 2018 What Action Causes This? Towards Naive Physical Action-Effect Prediction ACL 2018 What do character-level models learn about morphology? The case of dependency parsing EMNLP 2018 What Do Classifiers Actually Learn? a Case Study on Emotion Recognition Datasets Interspeech 2018 What Do Deep Networks Like to See? CVPR 2018 What Makes Reading Comprehension Questions Easier? EMNLP 2018 What makes us laugh? Investigations into Automatic Humor Classification NAACL 2018 What Makes You Stressed? Finding Reasons From Tweets EMNLP 2018 What’s in Your Embedding, And How It Predicts Task Performance COLING 2018 What we need to learn if we want to do and not just talk NAACL 2018 What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties ACL 2018 When do random forests fail? NeurIPS 2018