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)
Internal Chain-of-Thought: Empirical Evidence for Layer‐wise Subtask Scheduling in LLMs
EMNLP 2025
Interpretable Company Similarity with Sparse Autoencoders
ACL 2025
Interpretable DNFs
IJCAI 2025
Interpretable Failure Detection with Human-Level Concepts
AAAI 2025
Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data
JMLR 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning
CVPR 2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
EMNLP 2025
Interpretable point cloud classification using multiple instance learning
ICCV 2025
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
AAAI 2025
Interpretable Text Embeddings and Text Similarity Explanation: A Survey
EMNLP 2025
Interpret and Control Dense Retrieval with Sparse Latent Features
NAACL 2025
Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings
ACL 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders
ICML 2025
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
IJCAI 2025
Interpreting Topic Models in Byte-Pair Encoding Space
COLING 2025
Inter-sentence Context Modeling and Structure-aware Representation Enhancement for Conversational Sentiment Quadruple Extraction
EMNLP 2025
Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding
ICCV 2025
INT: Establishing Information Transfer for Multilingual Intent Detection and Slot Filling
ACL 2025
In the LLM era, Word Sense Induction remains unsolved
ACL 2025
Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition
AAAI 2025
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
ICCV 2025
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
ICLR 2025
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
AAAI 2025
Intrinsic User-Centric Interpretability through Global Mixture of Experts
ICLR 2025
Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining
ACL 2025