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)
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification
AAAI 2024
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
ICLR 2024
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
ICML 2024
Q-SLAM: Quadric Representations for Monocular SLAM
CoRL 2024
QTIP: Quantization with Trellises and Incoherence Processing
NeurIPS 2024
Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing
NeurIPS 2024
Quantifying Task Priority for Multi-Task Optimization
CVPR 2024
Quantile-Based Maximum Likelihood Training for Outlier Detection
AAAI 2024
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation
AAAI 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
AISTATS 2024
Quantum Implicit Neural Representations
ICML 2024
Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis
NAACL 2024
Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation
AAAI 2024
Quantum Positional Encodings for Graph Neural Networks
ICML 2024
Quartet@LT-EDI 2024: A Support Vector Machine Approach For Caste and Migration Hate Speech Detection
EACL 2024
Quartet@LT-EDI 2024: Support Vector Machine Based Approach For Homophobia/Transphobia Detection In Social Media Comments
EACL 2024
Quasi-Monte Carlo Features for Kernel Approximation
ICML 2024
Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning
Interspeech 2024
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization
NeurIPS 2024
Quilt: Robust Data Segment Selection against Concept Drifts
AAAI 2024
‘Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews
EMNLP 2024
RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts
COLING 2024
RACAI at ClimateActivism 2024: Improving Detection of Hate Speech by Extending LLM Predictions with Handcrafted Features
EACL 2024
RACAI at SemEval-2024 Task 10: Combining algorithms for code-mixed Emotion Recognition in Conversation
SemEval 2024
Racing Control Variable Genetic Programming for Symbolic Regression
AAAI 2024