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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 Grid: A semi-automated tool to support expert-driven modeling EMNLP 2024 The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations NeurIPS 2024 The Guidelines Specialists at FIGNEWS 2024 Shared Task: An annotation guideline to Unravel Bias in News Media Narratives Using a Linguistic Approach ACL 2024 The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models ACL 2024 The Hidden Language of Diffusion Models ICLR 2024 The Illusion of State in State-Space Models ICML 2024 The Impact of Depth on Compositional Generalization in Transformer Language Models NAACL 2024 The Implicit Bias of Adam on Separable Data NeurIPS 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data NeurIPS 2024 The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing NeurIPS 2024 The iNaturalist Sounds Dataset NeurIPS 2024 The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing NAACL 2024 The Intelligible and Effective Graph Neural Additive Network NeurIPS 2024 The Linear Representation Hypothesis and the Geometry of Large Language Models ICML 2024 The Many Faces of Optimal Weak-to-Strong Learning NeurIPS 2024 The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks NeurIPS 2024 The MEET Corpus: Collocated, Distant and Hybrid Three-party Meetings with a Ranking Task COLING 2024 The Mental Lexicon of Communicative Fragments and Contours: The Remix N-gram Method COLING 2024 The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024 The Moral Foundations Weibo Corpus EMNLP 2024 The motion planning neural circuit in goal-directed navigation as Lie group operator search NeurIPS 2024 The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning EMNLP 2024 The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024 The Mystery of the Pathological Path-star Task for Language Models EMNLP 2024 The Non-Overlapping Statistical Approximation to Overlapping Group Lasso JMLR 2024