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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)

RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning ICLR 2025 RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis IJCAI 2025 Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition CVPR 2025 Revelio: Interpreting and leveraging semantic information in diffusion models ICCV 2025 Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution NAACL 2025 Reverse Thinking Makes LLMs Stronger Reasoners NAACL 2025 ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification ICML 2025 Revisiting Attention for Multivariate Time Series Forecasting AAAI 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models ICLR 2025 Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings COLING 2025 Revisiting Deep Archetypal Analysis for Phenotype Discovery in High Content Imaging WACV 2025 Revisiting Early Detection of Sexual Predators via Turn-level Optimization NAACL 2025 Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective AAAI 2025 Revisiting In-context Learning Inference Circuit in Large Language Models ICLR 2025 Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model ICML 2025 Revisiting Interpolation for Noisy Label Correction AAAI 2025 Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective COLING 2025 Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps ACL 2025 Revisiting Machine Unlearning with Dimensional Alignment WACV 2025 Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later ICLR 2025 Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis ICML 2025 Revisiting Point Cloud Completion: Are We Ready For The Real-World? ICCV 2025 Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning ICCV 2025 Revisiting Random Walks for Learning on Graphs ICLR 2025 Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation ACL 2025