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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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'25

Papers (including subtopics)

SKICSE: Sentence Knowable Information Prompted by LLMs Improves Contrastive Sentence Embeddings NAACL 2024 Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning NeurIPS 2024 Skin Malignancy Classification Using Patients’ Skin Images and Meta-data: Multimodal Fusion for Improving Fairness MIDL 2024 Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract) AAAI 2024 SkipPredict: When to Invest in Predictions for Scheduling NeurIPS 2024 SkOTaPA: A Dataset for Skepticism Detection in Online Text after Persuasion Attempt COLING 2024 skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024 SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models NeurIPS 2024 SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals ICML 2024 Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract) AAAI 2024 Sliced Denoising: A Physics-Informed Molecular Pre-Training Method ICLR 2024 Sliced Wasserstein Estimation with Control Variates ICLR 2024 SLICE: Stabilized LIME for Consistent Explanations for Image Classification CVPR 2024 SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection NeurIPS 2024 SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter ICML 2024 SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings WACV 2024 Slot Abstractors: Toward Scalable Abstract Visual Reasoning ICML 2024 Slot and Intent Detection Resources for Bavarian and Lithuanian: Assessing Translations vs Natural Queries to Digital Assistants COLING 2024 Slot State Space Models NeurIPS 2024 SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NeurIPS 2024 SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction NeurIPS 2024 SMASH at AraFinNLP2024: Benchmarking Arabic BERT Models on the Intent Detection ACL 2024 Sm: enhanced localization in Multiple Instance Learning for medical imaging classification NeurIPS 2024 SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking AAAI 2024 SMM4H 2024: 5 Fold Cross Validation for Classification of tweets reporting children’s disorders ACL 2024