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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)

Preserving Fairness Generalization in Deepfake Detection CVPR 2024 Preserving Image Properties Through Initializations in Diffusion Models WACV 2024 Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality EMNLP 2024 Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers ACML 2024 PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks ICLR 2024 Pre-trained Language Models for Entity Blocking: A Reproducibility Study NAACL 2024 Pre-trained Large Language Models Use Fourier Features to Compute Addition NeurIPS 2024 Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control NeurIPS 2024 Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context NeurIPS 2024 Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching EMNLP 2024 Pre-training General User Representation with Multi-type APP Behaviors IJCAI 2024 Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains ICML 2024 Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning ICLR 2024 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024 Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization NeurIPS 2024 Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance AAAI 2024 Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NeurIPS 2024 Preventing Model Collapse in Gaussian Process Latent Variable Models ICML 2024 Principle Component Trees and Their Persistent Homology AAAI 2024 PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses ICML 2024 Prior Relational Schema Assists Effective Contrastive Learning for Inductive Knowledge Graph Completion COLING 2024 PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control ICML 2024 Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models ICML 2024 Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption ICML 2024 Private and Personalized Frequency Estimation in a Federated Setting NeurIPS 2024