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 the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling
AAAI 2024
Enhancing the Power of OOD Detection via Sample-Aware Model Selection
CVPR 2024
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms
AAAI 2024
Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
EMNLP 2024
Enhancing Training of Spiking Neural Network with Stochastic Latency
AAAI 2024
Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
ICML 2024
Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract)
AAAI 2024
Enhancing Turkish Word Segmentation: A Focus on Borrowed Words and Invalid Morpheme
ACL 2024
Enhancing Vision-Language Pre-training with Rich Supervisions
CVPR 2024
Enhancing Visual Continual Learning with Language-Guided Supervision
CVPR 2024
Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models
CVPR 2024
Enhancing Zero-shot Audio Classification using Sound Attribute Knowledge from Large Language Models
Interspeech 2024
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
COLING 2024
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations
AAAI 2024
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization
AAAI 2024
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
IJCAI 2024
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
NeurIPS 2024
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition
Interspeech 2024
Ensemble-based Multilingual Euphemism Detection: a Behavior-Guided Approach
NAACL 2024
Ensemble Diversity Facilitates Adversarial Transferability
CVPR 2024
Ensemble sampling for linear bandits: small ensembles suffice
NeurIPS 2024
Entity Alignment with Noisy Annotations from Large Language Models
NeurIPS 2024
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia
EMNLP 2024
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models
EACL 2024
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction
EMNLP 2024