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)
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models
ACL 2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
NeurIPS 2024
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
ACL 2024
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
JMLR 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
CVPR 2024
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples
ECCV 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
CVPR 2024
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
AAAI 2024
Expanding Expressiveness of Diffusion Models With Limited Data via Self-Distillation Based Fine-Tuning
WACV 2024
Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning
WACV 2024
Expanding Sparse Tuning for Low Memory Usage
NeurIPS 2024
Expanding the FLORES+ Multilingual Benchmark with Translations for Aragonese, Aranese, Asturian, and Valencian
EMNLP 2024
Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch
NeurIPS 2024
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
NeurIPS 2024
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction
ACL 2024
ExpeL: LLM Agents Are Experiential Learners
AAAI 2024
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
EMNLP 2024
Experiments in Automated Generation of Discharge Summaries in Italian
COLING 2024
Experiments in Multi-Variant Natural Language Processing for Nahuatl
NAACL 2024
Expert with clustering: Hierarchical online preference learning framework
L4DC 2024
Explainable Depression Detection Using Large Language Models on Social Media Data
EACL 2024
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes
AAAI 2024
Explaining Time Series via Contrastive and Locally Sparse Perturbations
ICLR 2024
Explicit Attribute Extraction in e-Commerce Search
COLING 2024
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments
EMNLP 2024