Learning Types
56,254 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,984)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions
CVPR 2023
GlobalBench: A Benchmark for Global Progress in Natural Language Processing
EMNLP 2023
Global Constraints with Prompting for Zero-Shot Event Argument Classification
EACL 2023
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos
AAAI 2023
Global-Local Modeling with Prompt-Based Knowledge Enhancement for Emotion Inference in Conversation
EACL 2023
Global-Local Regularization Via Distributional Robustness
AISTATS 2023
Global-Local Self-Distillation for Visual Representation Learning
WACV 2023
Global Selection of Contrastive Batches via Optimization on Sample Permutations
ICML 2023
Glocal Energy-Based Learning for Few-Shot Open-Set Recognition
CVPR 2023
Gloss-Free End-to-End Sign Language Translation
ACL 2023
GlotLID: Language Identification for Low-Resource Languages
EMNLP 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective
ACL 2023
G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors
CVPR 2023
GMU Systems for the IWSLT 2023 Dialect and Low-resource Speech Translation Tasks
ACL 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
NeurIPS 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
RSS 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
NeurIPS 2023
Goal-Conditioned Q-learning as Knowledge Distillation
AAAI 2023
Goal Driven Discovery of Distributional Differences via Language Descriptions
NeurIPS 2023
Goal-Driven Explainable Clustering via Language Descriptions
EMNLP 2023
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
CoRL 2023
Going Beyond Nouns With Vision & Language Models Using Synthetic Data
ICCV 2023
Going beyond research datasets: Novel intent discovery in the industry setting
EACL 2023
Good Helper Is around You: Attention-Driven Masked Image Modeling
AAAI 2023
Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages
EMNLP 2023