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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'15
'20
'25
Papers (including subtopics)
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
AAAI 2024
Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling
WACV 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
ACL 2024
Enhancing Non-Matching Reference Speech Quality Assessment through Dynamic Weight Adaptation
Interspeech 2024
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation
AAAI 2024
Enhancing Patient Recruitment Response in Clinical Trials: an Adaptive Learning Framework
UAI 2024
Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversion
EMNLP 2024
Enhancing Post-training Quantization Calibration through Contrastive Learning
CVPR 2024
Enhancing Preference-based Linear Bandits via Human Response Time
NeurIPS 2024
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
NeurIPS 2024
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
NeurIPS 2024
Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic
EMNLP 2024
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning
AAAI 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
NeurIPS 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
NeurIPS 2024
Enhancing Semantics in Multimodal Chain of Thought via Soft Negative Sampling
COLING 2024
Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling
AAAI 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
NeurIPS 2024
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs
EMNLP 2024
Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers
ACL 2024
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation
ECCV 2024
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
AAAI 2024
Enhancing Swedish Parliamentary Data: Annotation, Accessibility, and Application in Digital Humanities
EMNLP 2024
Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering
EMNLP 2024
Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation
EACL 2024