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)
Wav2vec 2.0 Embeddings Are No Swiss Army Knife -- A Case Study for Multiple Sclerosis
Interspeech 2024
Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations
AAAI 2024
Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement
AAAI 2024
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
AAAI 2024
Weakly Supervised Video Individual Counting
CVPR 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation
IJCAI 2024
Weighted distance nearest neighbor condensing
ICML 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections
NeurIPS 2024
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
AAAI 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
NeurIPS 2024
Weisfeiler-Leman at the margin: When more expressivity matters
ICML 2024
Weisfeiler Leman for Euclidean Equivariant Machine Learning
ICML 2024
Well, what can you do with messy data? Exploring the prosody and pragmatic function of the discourse marker "well" with found data and speech synthesis
Interspeech 2024
Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts (Student Abstract)
AAAI 2024
Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning
SemEval 2024
W-GVKT: Within-Global-View Knowledge Transfer for Speaker Verification
Interspeech 2024
What Can Go Wrong in Authorship Profiling: Cross-Domain Analysis of Gender and Age Prediction
ACL 2024
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
ICLR 2024
What Does Parameter-free Probing Really Uncover?
ACL 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
ACL 2024
What does the Knowledge Neuron Thesis Have to do with Knowledge?
ICLR 2024
What do Graph Neural Networks learn? Insights from Tropical Geometry
NeurIPS 2024
What Do Language Models Hear? Probing for Auditory Representations in Language Models
ACL 2024
What Happens to a Dataset Transformed by a Projection-based Concept Removal Method?
COLING 2024
What Has LeBenchmark Learnt about French Syntax?
COLING 2024