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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 Nyström method for convex loss functions JMLR 2024 The Open-World Lottery Ticket Hypothesis for OOD Intent Classification COLING 2024 The optimality of kernel classifiers in Sobolev space ICLR 2024 Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World Scenarios COLING 2024 Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NeurIPS 2024 Theoretical Foundations of Deep Selective State-Space Models NeurIPS 2024 Theoretically Achieving Continuous Representation of Oriented Bounding Boxes CVPR 2024 Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention AISTATS 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks EACL 2024 The PGNSC Benchmark: How Do We Predict Where Information Spreads? ACL 2024 The Register-specific Distribution of Personification in Hungarian: A Corpus-driven Analysis NAACL 2024 The Relative Clauses AMR Parsers Hate Most COLING 2024 The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NeurIPS 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 The Risks of Recourse in Binary Classification AISTATS 2024 Thermometer: Towards Universal Calibration for Large Language Models ICML 2024 The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding NeurIPS 2024 The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks NeurIPS 2024 The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models EACL 2024 The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis EMNLP 2024 The Solution Path of SLOPE AISTATS 2024 The Space Complexity of Approximating Logistic Loss NeurIPS 2024 The Star Number and Eluder Dimension: Elementary Observations About the Dimensions of Disagreement COLT 2024 The STVchrono Dataset: Towards Continuous Change Recognition in Time CVPR 2024