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)
Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification
EMNLP 2023
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
ICML 2023
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation
CVPR 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
AISTATS 2023
Frequency Domain Disentanglement for Arbitrary Neural Style Transfer
AAAI 2023
Frequency Guidance Matters in Few-Shot Learning
ICCV 2023
Frequency Patterns of Individual Speaker Characteristics at Higher and Lower Spectral Ranges
Interspeech 2023
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks
AISTATS 2023
Friedrich Nietzsche at SemEval-2023 Task 4: Detection of Human Values from Text Using Machine Learning
SemEval 2023
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
ACL 2023
From t-SNE to UMAP with contrastive learning
ICLR 2023
From adaptive score normalization to adaptive data normalization for speaker verification systems
Interspeech 2023
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection
ICCV 2023
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
ACL 2023
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions
JMLR 2023
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models
EMNLP 2023
From Diachronic to Contextual Lexical Semantic Change: Introducing Semantic Difference Keywords (SDKs) for Discourse Studies
EMNLP 2023
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments
WACV 2023
From Hypergraph Energy Functions to Hypergraph Neural Networks
ICML 2023
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization
ACL 2023
From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset
AACL 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
ICML 2023
From Shapley Values to Generalized Additive Models and back
AISTATS 2023
From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction
EMNLP 2023
From the One, Judge of the Whole: Typed Entailment Graph Construction with Predicate Generation
ACL 2023