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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)

Novel Empirical Mode Decomposition Cepstral Features for Replay Spoof Detection Interspeech 2018 NovelPerspective: Identifying Point of View Characters ACL 2018 Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection COLING 2018 Now You Shake Me: Towards Automatic 4D Cinema CVPR 2018 NPE: Neural Personalized Embedding for Collaborative Filtering IJCAI 2018 NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers SemEval 2018 NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification EMNLP 2018 NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs SemEval 2018 NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge SemEval 2018 Nugget Proposal Networks for Chinese Event Detection ACL 2018 Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers ACL 2018 Numerical Analysis near Singularities in RBF Networks JMLR 2018 Object Counts! Bringing Explicit Detections Back into Image Captioning NAACL 2018 Object Hallucination in Image Captioning EMNLP 2018 Objective Function Learning to Match Human Judgements for Optimization-Based Summarization NAACL 2018 Object Ordering with Bidirectional Matchings for Visual Reasoning NAACL 2018 Object-Oriented Dynamics Predictor NeurIPS 2018 Obligation and Prohibition Extraction Using Hierarchical RNNs ACL 2018 Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words ACL 2018 OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers Using Piecewise Convolutional Neural Networks SemEval 2018 oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis ICML 2018 OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning CVPR 2018 Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model NAACL 2018 On b-bit Min-wise Hashing for Large-scale Regression and Classification with Sparse Data JMLR 2018 On Binary Classification in Extreme Regions NeurIPS 2018