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
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
ChatPose: Chatting about 3D Human Pose
CVPR 2024
Cheap Talk: Topic Analysis of CSR Themes on Corporate Twitter
COLING 2024
Cheap Ways of Extracting Clinical Markers from Texts
EACL 2024
CheckersGPT: Learning World Models through Language Modeling
ACL 2024
Check Locate Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation
CVPR 2024
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
EACL 2024
Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary
ACL 2024
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support
ACL 2024
Choose What You Need: Disentangled Representation Learning for Scene Text Recognition Removal and Editing
CVPR 2024
Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria
JMLR 2024
Choosing the p in Lp Loss: Adaptive Rates for Symmetric Mean Estimation
COLT 2024
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers
ACL 2024
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
ACL 2024
CID at RRG24: Attempting in a Conditionally Initiated Decoding of Radiology Report Generation with Clinical Entities
ACL 2024
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem
AAAI 2024
CIPHE: A Framework for Document Cluster Interpretation and Precision from Human Exploration
EMNLP 2024
Circuit Component Reuse Across Tasks in Transformer Language Models
ICLR 2024
CiteAssist: A System for Automated Preprint Citation and BibTeX Generation
ACL 2024
CiteME: Can Language Models Accurately Cite Scientific Claims?
NeurIPS 2024
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling
EMNLP 2024
C-Journal: A Journaling Application for Detecting and Classifying Cognitive Distortions Using Deep-Learning Based on a Crowd-sourced Dataset
COLING 2024
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness
EACL 2024
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
AAAI 2024
Class Balancing for Efficient Active Learning in Imbalanced Datasets
EACL 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
NeurIPS 2024