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)
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
EMNLP 2023
Dramatic Conversation Disentanglement
ACL 2023
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
NeurIPS 2023
DRCFS: Doubly Robust Causal Feature Selection
ICML 2023
DREAM: Deployment of Recombination and Ensembles in Argument Mining
EMNLP 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
NeurIPS 2023
DRew: Dynamically Rewired Message Passing with Delay
ICML 2023
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks
AAAI 2023
DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups
EMNLP 2023
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine
AAAI 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI 2023
Dropout Reduces Underfitting
ICML 2023
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
NeurIPS 2023
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
NeurIPS 2023
DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization
ACL 2023
DS at SemEval-2023 Task 10: Explaining Online Sexism using Transformer based Approach
SemEval 2023
DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speech
Interspeech 2023
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein
NeurIPS 2023
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
ACL 2023
Dual Audio Encoders Based Mandarin Prosodic Boundary Prediction by Using Multi-Granularity Prosodic Representations
Interspeech 2023
Dual Cache for Long Document Neural Coreference Resolution
ACL 2023
Dual-Channel Span for Aspect Sentiment Triplet Extraction
EMNLP 2023
Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection
ACL 2023
Dual Focal Loss for Calibration
ICML 2023
DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations
ACL 2023