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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
'5
'10
'15
'20
'25

Papers (including subtopics)

The Russian-focused embedders’ exploration: ruMTEB benchmark and Russian embedding model design NAACL 2025 THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings AAAI 2025 The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer ICCV 2025 The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities ICLR 2025 The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models EMNLP 2025 The Strong Product Model for Network Inference without Independence Assumptions AISTATS 2025 The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training AAAI 2025 The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data ICML 2025 The Transfer Neurons Hypothesis: An Underlying Mechanism for Language Latent Space Transitions in Multilingual LLMs EMNLP 2025 The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training ICML 2025 The Uniformly Rotated Mondrian Kernel AISTATS 2025 The UNLP 2025 Shared Task on Detecting Social Media Manipulation ACL 2025 The Visual Counter Turing Test (VCT²): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (V_AI) IJCNLP 2025 The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance AAAI 2025 THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction AAAI 2025 Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality ACL 2025 ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models EMNLP 2025 ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails ACL 2025 Thin-Plate Spline-based Interpolation for Animation Line Inbetweening AAAI 2025 Thin-Shell-SfT: Fine-Grained Monocular Non-rigid 3D Surface Tracking with Neural Deformation Fields CVPR 2025 t-HNE: A Text-guided Hierarchical Noise Eliminator for Multimodal Sentiment Analysis COLING 2025 THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation ACL 2025 Three-view Focal Length Recovery From Homographies CVPR 2025 Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications AAAI 2025 Through the Looking Glass: Common Sense Consistency Evaluation of Weird Images NAACL 2025