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)
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
AAAI 2023
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
NeurIPS 2023
Geometric Algebra Transformer
NeurIPS 2023
Geometrically regularized autoencoders for non-Euclidean data
ICLR 2023
Geometric Clifford Algebra Networks
ICML 2023
Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations
AAAI 2023
Geometric Latent Diffusion Models for 3D Molecule Generation
ICML 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training
CVPR 2023
Geometry-Aware Adaptation for Pretrained Models
NeurIPS 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
NeurIPS 2023
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising
NeurIPS 2023
GEQ: Gaussian Kernel Inspired Equilibrium Models
NeurIPS 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation
ICCV 2023
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation
ICCV 2023
Getting MoRE out of Mixture of Language Model Reasoning Experts
EMNLP 2023
Get to Know Your Parallel Data: Performing English Variety and Genre Classification over MaCoCu Corpora
EACL 2023
GEX: A flexible method for approximating influence via Geometric Ensemble
NeurIPS 2023
GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments
CVPR 2023
GhostT5: Generate More Features with Cheap Operations to Improve Textless Spoken Question Answering
Interspeech 2023
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding
ACL 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
NeurIPS 2023
Ginn-Khamov at SemEval-2023 Task 6, Subtask B: Legal Named Entities Extraction for Heterogenous Documents
SemEval 2023
GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods
CVPR 2023
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
CVPR 2023
GLAD: A Global-to-Local Anomaly Detector
WACV 2023