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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
'20
'25

Papers (including subtopics)

Efficient Continue Training of Temporal Language Model with Structural Information EMNLP 2023 Efficient Converted Spiking Neural Network for 3D and 2D Classification ICCV 2023 Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond ICCV 2023 Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces AAAI 2023 Efficient Dynamic Batch Adaptation (Student Abstract) AAAI 2023 Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs AAAI 2023 Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer AAAI 2023 Efficient Extraction of EL-Ontology Deductive Modules AAAI 2023 Efficient Failure Pattern Identification of Predictive Algorithms UAI 2023 Efficient fair PCA for fair representation learning AISTATS 2023 Efficient Hierarchical Entropy Model for Learned Point Cloud Compression CVPR 2023 Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023 Efficient Learning of Linear Graph Neural Networks via Node Subsampling NeurIPS 2023 Efficient Learning of Minimax Risk Classifiers in High Dimensions UAI 2023 Efficient List-Decodable Regression using Batches ICML 2023 Efficiently predicting high resolution mass spectra with graph neural networks ICML 2023 Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization NeurIPS 2023 Efficient Model-Free Exploration in Low-Rank MDPs NeurIPS 2023 Efficient Neural Supersampling on a Novel Gaming Dataset ICCV 2023 Efficient Online Clustering with Moving Costs NeurIPS 2023 Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision MLHC 2023 Efficient RL via Disentangled Environment and Agent Representations ICML 2023 Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023 Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language ICML 2023 Efficient Shapley Values Estimation by Amortization for Text Classification ACL 2023