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)
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
EMNLP 2024
Improving Legal Judgement Prediction in Romanian with Long Text Encoders
COLING 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
NeurIPS 2024
Improving LLM Attributions with Randomized Path-Integration
EMNLP 2024
Improving Minimum Bayes Risk Decoding with Multi-Prompt
EMNLP 2024
Improving Multi-Label Classification of Similar Languages by Semantics-Aware Word Embeddings
NAACL 2024
Improving Multi-lingual Alignment Through Soft Contrastive Learning
NAACL 2024
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features
ACL 2024
Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence
EMNLP 2024
Improving Multi-view Document Clustering: Leveraging Multi-structure Processor and Hybrid Ensemble Clustering Module
COLING 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting
AAAI 2024
Improving Neural Network Surface Processing with Principal Curvatures
NeurIPS 2024
Improving Non-Transferable Representation Learning by Harnessing Content and Style
ICLR 2024
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining
ICML 2024
Improving Quotation Attribution with Fictional Character Embeddings
EMNLP 2024
Improving Readability Assessment with Ordinal Log-Loss
NAACL 2024
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals
EMNLP 2024
Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields
AAAI 2024
Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective
NeurIPS 2024
Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training
COLING 2024
Improving robustness to corruptions with multiplicative weight perturbations
NeurIPS 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
ECCV 2024
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
ICML 2024
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
AISTATS 2024
Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders
NeurIPS 2024