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)
Fairness-Aware Online Positive-Unlabeled Learning
EMNLP 2024
Fairness guarantees in multi-class classification with demographic parity
JMLR 2024
FairProof : Confidential and Certifiable Fairness for Neural Networks
ICML 2024
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)
AAAI 2024
Fair Soft Clustering
AISTATS 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes
AISTATS 2024
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
ICLR 2024
Faithful graphical representations of local independence
AISTATS 2024
FakeSound: Deepfake General Audio Detection
Interspeech 2024
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval
AAAI 2024
Fast 1-Wasserstein distance approximations using greedy strategies
AISTATS 2024
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent
AISTATS 2024
Fast and Adversarial Robust Kernelized SDU Learning
AISTATS 2024
Fast Arc-Reversal
PGM 2024
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence
COLT 2024
Fast Decision Boundary based Out-of-Distribution Detector
ICML 2024
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
ICLR 2024
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation
ECCV 2024
Fast Dynamic Sampling for Determinantal Point Processes
AISTATS 2024
Faster Recalibration of an Online Predictor via Approachability
AISTATS 2024
FasterViT: Fast Vision Transformers with Hierarchical Attention
ICLR 2024
Fast Exact Retrieval for Nearest-neighbor Lookup (FERN)
NAACL 2024
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space
ICLR 2024
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
ACL 2024
Fast Hyperboloid Decision Tree Algorithms
ICLR 2024