Learning Types
56,253 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 (1,983)
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
2,019
2000
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'10
'15
'20
'25
Papers (including subtopics)
Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning
Interspeech 2023
Exploration of multilingual prompts in document-grounded dialogue
ACL 2023
Exploration of Open Large Language Models for eDiscovery
EMNLP 2023
Exploratory Inference Learning for Scribble Supervised Semantic Segmentation
AAAI 2023
Explore In-Context Learning for 3D Point Cloud Understanding
NeurIPS 2023
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
EMNLP 2023
Explore to Generalize in Zero-Shot RL
NeurIPS 2023
Exploring a classification approach using quantised articulatory movements for acoustic to articulatory inversion
Interspeech 2023
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
CVPR 2023
Exploring and Utilizing Pattern Imbalance
CVPR 2023
Exploring Chain of Thought Style Prompting for Text-to-SQL
EMNLP 2023
Exploring Chemical Space with Score-based Out-of-distribution Generation
ICML 2023
Exploring CLIP for Assessing the Look and Feel of Images
AAAI 2023
Exploring Context-Aware Evaluation Metrics for Machine Translation
EMNLP 2023
Exploring Continual Learning for Code Generation Models
ACL 2023
Exploring Data Geometry for Continual Learning
CVPR 2023
Exploring Downstream Transfer of Self-Supervised Features for Speech Emotion Recognition
Interspeech 2023
Exploring Geometry of Blind Spots in Vision models
NeurIPS 2023
Exploring Graph Pre-training for Aspect-based Sentiment Analysis
EMNLP 2023
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
MIDL 2023
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation
CVPR 2023
Exploring In-Context Learning for Knowledge Grounded Dialog Generation
EMNLP 2023
Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis
CVPR 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
EMNLP 2023
Exploring Lottery Prompts for Pre-trained Language Models
ACL 2023