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
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'20
'25
Papers (including subtopics)
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
NeurIPS 2024
Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights
AAAI 2024
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement
EACL 2024
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models
EMNLP 2024
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
IJCAI 2024
Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses
ACL 2024
Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration
EMNLP 2024
Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss
ACL 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
NeurIPS 2024
Enhancing In-context Learning via Linear Probe Calibration
AISTATS 2024
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
CVPR 2024
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
AAAI 2024
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
ACL 2024
Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants
EMNLP 2024
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
EMNLP 2024
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases
IJCAI 2024
Enhancing LLM Reasoning via Vision-Augmented Prompting
NeurIPS 2024
Enhancing Low-Resource Relation Representations through Multi-View Decoupling
AAAI 2024
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition
Interspeech 2024
Enhancing Multi-Label Classification via Dynamic Label-Order Learning
AAAI 2024
Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework
EMNLP 2024
Enhancing Multilingual Voice Toxicity Detection with Speech-Text Alignment
Interspeech 2024
Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining
WACV 2024
Enhancing Multimodal Emotion Recognition through ASR Error Compensation and LLM Fine-Tuning
Interspeech 2024
Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning
IJCAI 2024