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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)

Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification NeurIPS 2024 Trained Random Forests Completely Reveal your Dataset ICML 2024 Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data NeurIPS 2024 Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024 Training BERT Models to Carry over a Coding System Developed on One Corpus to Another COLING 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NeurIPS 2024 Training Data Attribution via Approximate Unrolling NeurIPS 2024 Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation EMNLP 2024 Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation EMNLP 2024 Trajectory Flow Matching with Applications to Clinical Time Series Modelling NeurIPS 2024 Trajectory Improvement and Reward Learning from Comparative Language Feedback CoRL 2024 Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization NAACL 2024 Transcendence: Generative Models Can Outperform The Experts That Train Them NeurIPS 2024 Transcoders find interpretable LLM feature circuits NeurIPS 2024 Transductive and Inductive Outlier Detection with Robust Autoencoders UAI 2024 Transductive conformal inference with adaptive scores AISTATS 2024 Transductive Legal Judgment Prediction Combining BERT Embeddings with Delaunay-Based GNNs EMNLP 2024 TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation COLING 2024 Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking ACL 2024 Transferable Boltzmann Generators NeurIPS 2024 Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024 Transfer Learning for Latent Variable Network Models NeurIPS 2024 Transfer learning for tensor Gaussian graphical models JMLR 2024 Transferring disentangled representations: bridging the gap between synthetic and real images NeurIPS 2024 Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection COLING 2024