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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)

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation NeurIPS 2023 Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics EMNLP 2023 Are Equivariant Equilibrium Approximators Beneficial? ICML 2023 A Reference-free Segmentation Quality Index (SegReFree) EMNLP 2023 Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023 Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales ACL 2023 Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL 2023 Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ICML 2023 Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction? ACL 2023 Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings? EACL 2023 Are These the Same Apple? Comparing Images Based on Object Intrinsics NeurIPS 2023 Are Transformers Effective for Time Series Forecasting? AAAI 2023 ArgAnalysis35K : A large-scale dataset for Argument Quality Analysis ACL 2023 Arguably at SemEval-2023 Task 11: Learning the disagreements using unsupervised behavioral clustering and language models SemEval 2023 ArgU: A Controllable Factual Argument Generator ACL 2023 Argument-based Detection and Classification of Fallacies in Political Debates EMNLP 2023 A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition JMLR 2023 Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind Arguments SemEval 2023 Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T SemEval 2023 A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses AAAI 2023 Arthur Caplan at SemEval-2023 Task 4: Enhancing Human Value Detection through Fine-tuned Pre-trained Models SemEval 2023 A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers JMLR 2023 A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports EMNLP 2023 A Scalable Neural Network for DSIC Affine Maximizer Auction Design NeurIPS 2023 A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks UAI 2023