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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)

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns NeurIPS 2024 Cycle Self-Refinement for Multi-Source Domain Adaptation AAAI 2024 CYUT at SemEval-2024 Task 7: A Numerals Augmentation and Feature Enhancement Approach to Numeral Reading Comprehension SemEval 2024 Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks COLING 2024 D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement CoRL 2024 D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NeurIPS 2024 D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval CVPR 2024 D^4: Dataset Distillation via Disentangled Diffusion Model CVPR 2024 DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods COLING 2024 DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024 Daisy at WASSA 2024 Empathy and Personality Shared Task: A Quick Exploration on Emotional Pattern of Empathy and Distress ACL 2024 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NeurIPS 2024 DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning AAAI 2024 DAPE: Data-Adaptive Positional Encoding for Length Extrapolation NeurIPS 2024 DAPR: A Benchmark on Document-Aware Passage Retrieval ACL 2024 DARES: Dataset for Arabic Readability Estimation of School Materials COLING 2024 DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection NeurIPS 2024 Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NeurIPS 2024 Data Augmented Graph Neural Networks for Personality Detection AAAI 2024 Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024 Data Distribution Valuation NeurIPS 2024 Data-driven Coreference-based Ontology Building EMNLP 2024 Data-Driven Structural Fire Risk Prediction for City Properties AAAI 2024 Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond ICML 2024 Data-Efficient Molecular Generation with Hierarchical Textual Inversion ICML 2024