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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)

Neuron Interaction Based Representation Composition for Neural Machine Translation AAAI 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 NeuSpell: A Neural Spelling Correction Toolkit EMNLP 2020 Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation EMNLP 2020 NEVAE: A Deep Generative Model for Molecular Graphs JMLR 2020 New Advances in Speaker Diarization Interspeech 2020 New Benchmark Corpus and Models for Fine-grained Event Classification: To BERT or not to BERT? COLING 2020 New Efficient Multi-Spike Learning for Fast Processing and Robust Learning AAAI 2020 New Insights into Cross-Document Event Coreference: Systematic Comparison and a Simplified Approach ACL 2020 News Aggregation with Diverse Viewpoint Identification Using Neural Embeddings and Semantic Understanding Models COLING 2020 Neyman-Pearson classification: parametrics and sample size requirement JMLR 2020 NGBoost: Natural Gradient Boosting for Probabilistic Prediction ICML 2020 NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets EMNLP 2020 NITK NLP at FinCausal-2020 Task 1 Using BERT and Linear models. COLING 2020 NLFIIT at SemEval-2020 Task 11: Neural Network Architectures for Detection of Propaganda Techniques in News Articles SemEval 2020 NLocalSAT: Boosting Local Search with Solution Prediction IJCAI 2020 NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube ACL 2020 NLP-CIC at SemEval-2020 Task 9: Analysing Sentiment in Code-switching Language Using a Simple Deep-learning Classifier SemEval 2020 NLP@JUST at SemEval-2020 Task 4: Ensemble Technique for BERT and Roberta to Evaluate Commonsense Validation SemEval 2020 NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets EMNLP 2020 NLP_Passau at SemEval-2020 Task 12: Multilingual Neural Network for Offensive Language Detection in English, Danish and Turkish SemEval 2020 NLP-PINGAN-TECH @ CL-SciSumm 2020 EMNLP 2020 NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets EMNLP 2020 NLPRL Odia-English: Indic Language Neural Machine Translation System AACL 2020 NLP_UIOWA at SemEval-2020 Task 8: You’re Not the Only One Cursed with Knowledge - Multi Branch Model Memotion Analysis SemEval 2020