Skip to content
conftrace_

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
'10
'15
'20
'25

Papers (including subtopics)

Inspecting the Representation Manifold of Differentially-Private Text NAACL 2025 Instance Correlation Graph-based Naive Bayes ICML 2025 InstGAN: Instant Actor-Critic-Driven GAN for De Novo Molecule Generation and Property Optimization IJCAI 2025 InstructOCR: Instruction Boosting Scene Text Spotting AAAI 2025 InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series AAAI 2025 Integral Fast Fourier Color Constancy CVPR 2025 Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test JMLR 2025 Integrating Audio, Visual, and Semantic Information for Enhanced Multimodal Speaker Diarization on Multi-party Conversation ACL 2025 Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily AAAI 2025 Integrating Group-based Preferences from Coarse to Fine for Cold-start Users Recommendation COLING 2025 Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere AAAI 2025 Integrating Multi-Source Data for Long Sequence Precipitation Forecasting AAAI 2025 Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation AAAI 2025 Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows ICLR 2025 Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning AAAI 2025 Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework IJCAI 2025 Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation COLING 2025 Intent Oriented Contrastive Learning for Sequential Recommendation AAAI 2025 Interaction Asymmetry: A General Principle for Learning Composable Abstractions ICLR 2025 Interaction-Aware Gaussian Weighting for Clustered Federated Learning ICML 2025 Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations COLING 2025 Interactive Medical Image Analysis with Concept-based Similarity Reasoning CVPR 2025 Interactive platform for the exploration of large-scale ‘living’ systematic maps ACL 2025 Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence ICML 2025 Intermediate Connectors and Geometric Priors for Language-Guided Affordance Segmentation on Unseen Object Categories ICCV 2025