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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)

The British Council submission to the BEA 2024 shared task NAACL 2024 The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal EMNLP 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 The Constant in HATE: Toxicity in Reddit across Topics and Languages COLING 2024 The Contextual Variability of English Nouns: The Impact of Categorical Specificity beyond Conceptual Concreteness COLING 2024 The Corpus AIKIA: Using Ranking Annotation for Offensive Language Detection in Modern Greek COLING 2024 The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning ICLR 2024 The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases EMNLP 2024 The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication ACL 2024 The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text NAACL 2024 The Curse of Diversity in Ensemble-Based Exploration ICLR 2024 The Effective Number of Shared Dimensions Between Paired Datasets AISTATS 2024 The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images ICLR 2024 The effects of distance on NPI illusive effects in BERT EMNLP 2024 The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark NeurIPS 2024 The Emotion Dynamics of Literary Novels ACL 2024 The Entropy Enigma: Success and Failure of Entropy Minimization ICML 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NeurIPS 2024 The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. ICLR 2024 The Expressive Power of Path-Based Graph Neural Networks ICML 2024 The Extraction and Fine-grained Classification of Written Cantonese Materials through Linguistic Feature Detection COLING 2024 The Fairness-Quality Tradeoff in Clustering NeurIPS 2024 The First Universal Dependency Treebank for Tswana: Tswana-Popapolelo COLING 2024 The Fundamental Limits of Least-Privilege Learning ICML 2024