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)

OPI-DRO-HEL at at SemEval-2025 Task 11: Few-shot prompting for Text-based Emotion Recognition SemEval 2025 OPI-DRO-HEL at SemEval-2025 Task 9: Integrating Transformer-Based Classification with LLM-Assisted Few-Shot Learning for Food Hazard Detection SemEval 2025 OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation CVPR 2025 Optimal and Efficient Binary Questioning for Accelerated Annotation AAAI 2025 Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound AAAI 2025 Optimal Denoising in Score-Based Generative Models: The Role of Data Regularity JMLR 2025 Optimal downsampling for Imbalanced Classification with Generalized Linear Models AISTATS 2025 Optimal Functional Bilinear Regression with Two-dimensional Functional Covariates via Reproducing Kernel Hilbert Space JMLR 2025 Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression ICLR 2025 Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios ICLR 2025 Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions JMLR 2025 Optimal subsampling for high-dimensional partially linear models via machine learning methods JMLR 2025 Optimal Task Order for Continual Learning of Multiple Tasks ICML 2025 Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs AISTATS 2025 Optimal transport-based conformal prediction ICML 2025 Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing ICCV 2025 Optimized Gradient Clipping for Noisy Label Learning AAAI 2025 Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval ACL 2025 Optimizing Label Assignment for Weakly Supervised Person Search AAAI 2025 Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering ACL 2025 Oracle efficient truncated statistics ICLR 2025 Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation EMNLP 2025 Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping CVPR 2025 Ordinal Multiple-Instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer WACV 2025 Organize the Web: Constructing Domains Enhances Pre-Training Data Curation ICML 2025