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)
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression
AAAI 2024
AQuA – Combining Experts’ and Non-Experts’ Views To Assess Deliberation Quality in Online Discussions Using LLMs
COLING 2024
A Qualitative Inquiry into the South African Language Identifier’s Performance on YouTube Comments.
COLING 2024
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
ICML 2024
Arabic Diacritization Using Morphologically Informed Character-Level Model
COLING 2024
ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic
ACL 2024
AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval
ACL 2024
AraTar: A Corpus to Support the Fine-grained Detection of Hate Speech Targets in the Arabic Language
COLING 2024
A Rate-Distortion View of Uncertainty Quantification
ICML 2024
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
AAAI 2024
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding
COLING 2024
ArcGeo: Localizing Limited Field-of-View Images Using Cross-View Matching
WACV 2024
Archaeology at MLSP 2024: Machine Translation for Lexical Complexity Prediction and Lexical Simplification
NAACL 2024
Are Articulatory Feature Overlaps Shrouded in Speech Embeddings?
Interspeech 2024
A Recipe for Charge Density Prediction
NeurIPS 2024
Are Decoder-Only Language Models Better than Encoder-Only Language Models in Understanding Word Meaning?
ACL 2024
Are ELECTRA’s Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
EMNLP 2024
Are Graph Neural Networks Optimal Approximation Algorithms?
NeurIPS 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
NeurIPS 2024
Are Language Models Actually Useful for Time Series Forecasting?
NeurIPS 2024
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
ACL 2024
Are Logistic Models Really Interpretable?
IJCAI 2024
Are Multiple Instance Learning Algorithms Learnable for Instances?
NeurIPS 2024
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
NeurIPS 2024
A representation-learning game for classes of prediction tasks
ICLR 2024