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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)

How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression UAI 2024 How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NeurIPS 2024 How Learning by Reconstruction Produces Uninformative Features For Perception ICML 2024 How Lexical is Bilingual Lexicon Induction? NAACL 2024 How many classifiers do we need? NeurIPS 2024 How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data ICLR 2024 How to Annotate Emotions in Historical Italian Novels: A Case Study on I Promessi Sposi COLING 2024 How to Do Politics with Words: Investigating Speech Acts in Parliamentary Debates COLING 2024 How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval? CVPR 2024 How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective IJCAI 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024 How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation AAAI 2024 How to Train Neural Field Representations: A Comprehensive Study and Benchmark CVPR 2024 How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing ICML 2024 How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker Prediction ACL 2024 How Well Do Tweets Represent Sub-Dialects of Egyptian Arabic? NAACL 2024 How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection EMNLP 2024 HQP: A Human-Annotated Dataset for Detecting Online Propaganda ACL 2024 HRP: Human affordances for Robotic Pre-training RSS 2024 HS-GC: Holistic Semantic Embedding and Global Contrast for Effective Text Clustering COLING 2024 HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text? SemEval 2024 Human Expertise in Algorithmic Prediction NeurIPS 2024 HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting CVPR 2024 Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks ICML 2024 Human Motion Prediction Under Unexpected Perturbation CVPR 2024