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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
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'15
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'25

Papers (including subtopics)

Benign overfitting in ridge regression JMLR 2023 Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023 Benign overfitting of non-smooth neural networks beyond lazy training AISTATS 2023 BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval ACL 2023 BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation AAAI 2023 BERT Has More to Offer: BERT Layers Combination Yields Better Sentence Embeddings EMNLP 2023 BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs EACL 2023 Best arm identification in rare events UAI 2023 Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data CVPR 2023 Better Generalized Few-Shot Learning Even without Base Data AAAI 2023 Better Private Linear Regression Through Better Private Feature Selection NeurIPS 2023 Better Training of GFlowNets with Local Credit and Incomplete Trajectories ICML 2023 BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification EACL 2023 Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks CVPR 2023 Beyond Black Box AI generated Plagiarism Detection: From Sentence to Document Level ACL 2023 Beyond Confidence: Reliable Models Should Also Consider Atypicality NeurIPS 2023 Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023 Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media EMNLP 2023 Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis NeurIPS 2023 Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework AAAI 2023 Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering ICML 2023 Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification IJCAI 2023 Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NeurIPS 2023 Beyond Normal: On the Evaluation of Mutual Information Estimators NeurIPS 2023 Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures COLT 2023