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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
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966
4,853
5,823
2000
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Papers (including subtopics)

DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models IJCAI 2025 Do Construction Distributions Shape Formal Language Learning In German BabyLMs? CoNLL 2025 DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers EMNLP 2025 DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models ICLR 2025 Document Attribution: Examining Citation Relationships using Large Language Models ACL 2025 DocVXQA: Context-Aware Visual Explanations for Document Question Answering ICML 2025 Does effortful speech production indicate communication difficulty caused by noise and hearing aid support? Interspeech 2025 Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target Regression AAAI 2025 Does learning the right latent variables necessarily improve in-context learning? ICML 2025 Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? ICML 2025 Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning ICML 2025 Does Self-Attention Need Separate Weights in Transformers? NAACL 2025 Does VLM Classification Benefit from LLM Description Semantics? AAAI 2025 DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning ICLR 2025 Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization CVPR 2025 Do Large Language Models Have “Emotion Neurons”? Investigating the Existence and Role ACL 2025 Do Large Language Models Mirror Cognitive Language Processing? COLING 2025 Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions EMNLP 2025 Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract) AAAI 2025 Domain Pre-training Impact on Representations EMNLP 2025 Domain Regeneration: How well do LLMs match syntactic properties of text domains? ACL 2025 Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex ICLR 2025 DONIS: Importance Sampling for Training Physics-Informed DeepONet IJCAI 2025 Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL ICLR 2025 Don’t Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation ACL 2025