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)
Generalized test utilities for long-tail performance in extreme multi-label classification
NeurIPS 2023
Generalizing Dataset Distillation via Deep Generative Prior
CVPR 2023
Generalizing Event-Based Motion Deblurring in Real-World Scenarios
ICCV 2023
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
EMNLP 2023
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
NeurIPS 2023
Generalizing Math Word Problem Solvers via Solution Diversification
AAAI 2023
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation
AAAI 2023
Generalizing Nonlinear ICA Beyond Structural Sparsity
NeurIPS 2023
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
IJCAI 2023
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening
MIDL 2023
General-purpose Adversarial Training for Enhanced Automatic Speech Recognition Model Generalization
Interspeech 2023
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation
ACL 2023
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
NeurIPS 2023
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework
AAAI 2023
Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference
ACL 2023
Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection
CVPR 2023
Generating Instance-level Prompts for Rehearsal-free Continual Learning
ICCV 2023
Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training
ACL 2023
Generating Realistic Images from In-the-wild Sounds
ICCV 2023
Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization
ACL 2023
Generating Synthetic Speech from SpokenVocab for Speech Translation
EACL 2023
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization
AAAI 2023
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
CoRL 2023
Generative Action Description Prompts for Skeleton-based Action Recognition
ICCV 2023
Generative Adversarial Symmetry Discovery
ICML 2023