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
'5
'10
'15
'20
'25
Papers (including subtopics)
Enhanced Training Methods for Multiple Languages
ACL 2023
Enhance Robustness of Machine Learning with Improved Efficiency
AAAI 2023
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
ICML 2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
NeurIPS 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation
ICCV 2023
Enhancing Adversarial Robustness via Score-Based Optimization
NeurIPS 2023
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information
EMNLP 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
NeurIPS 2023
Enhancing Code-Switching for Cross-lingual SLU: A Unified View of Semantic and Grammatical Coherence
EMNLP 2023
Enhancing Continual Relation Extraction via Classifier Decomposition
ACL 2023
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
ACL 2023
Enhancing Cross-lingual Prompting with Dual Prompt Augmentation
ACL 2023
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration
ACL 2023
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance
ACL 2023
Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses
ACL 2023
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
IJCAI 2023
Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization
EMNLP 2023
Enhancing Event Causality Identification with Counterfactual Reasoning
ACL 2023
Enhancing Event Causality Identification with Event Causal Label and Event Pair Interaction Graph
ACL 2023
Enhancing Extreme Multi-Label Text Classification: Addressing Challenges in Model, Data, and Evaluation
EMNLP 2023
Enhancing Few-shot Cross-lingual Transfer with Target Language Peculiar Examples
ACL 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
ICCV 2023
Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback
EMNLP 2023
Enhancing Hierarchical Text Classification through Knowledge Graph Integration
ACL 2023
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
NeurIPS 2023