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)
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
ICML 2025
Enhancing Hate Speech Classifiers through a Gradient-assisted Counterfactual Text Generation Strategy
EMNLP 2025
Enhancing Human Evaluation in Machine Translation with Comparative Judgement
ACL 2025
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
ACL 2025
Enhancing Language Model Agents using Diversity of Thoughts
ICLR 2025
Enhancing Learning with Label Differential Privacy by Vector Approximation
ICLR 2025
Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization
ACL 2025
Enhancing LLM Knowledge Learning through Generalization
EMNLP 2025
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training
EMNLP 2025
Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision
EMNLP 2025
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning
AAAI 2025
Enhancing Low-Resource Text Classification with LLM-Generated Corpora : A Case Study on Olfactory Reference Extraction
IJCNLP 2025
Enhancing Machine Translation with Self-Supervised Preference Data
ACL 2025
Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction
ICCV 2025
Enhancing Masked Time-Series Modeling via Dropping Patches
AAAI 2025
Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment
ACL 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
WACV 2025
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
AAAI 2025
Enhancing Multimodal Affective Analysis with Learned Live Comment Features
AAAI 2025
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA
ACL 2025
Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation
NAACL 2025
Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning
IJCAI 2025
Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training
IJCAI 2025
Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment
ACL 2025
Enhancing Multimodal Unified Representations for Cross Modal Generalization
ACL 2025