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)
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
AAAI 2024
Appearance-Based Curriculum for Semi-Supervised Learning With Multi-Angle Unlabeled Data
WACV 2024
Apple Tasting: Combinatorial Dimensions and Minimax Rates
COLT 2024
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization
EMNLP 2024
Applying Contrastive Learning to Code Vulnerability Type Classification
EMNLP 2024
Applying Linguistic Expertise to LLMs for Educational Material Development in Indigenous Languages
NAACL 2024
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition
IJCAI 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
AISTATS 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
NeurIPS 2024
Approximate Kernel Density Estimation under Metric-based Local Differential Privacy
UAI 2024
Approximate Leave-one-out Cross Validation for Regression with ℓ_1 Regularizers
AISTATS 2024
Approximation Algorithms for Observer Aware MDPs
UAI 2024
A Practitioner's Guide to Real-World Continual Multimodal Pretraining
NeurIPS 2024
A Preference-driven Paradigm for Enhanced Translation with Large Language Models
NAACL 2024
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
NeurIPS 2024
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning
AISTATS 2024
A Probabilistic Framework for Modular Continual Learning
ICLR 2024
A probability contrastive learning framework for 3D molecular representation learning
NeurIPS 2024
A Prompting Assignment for Exploring Pretrained LLMs
ACL 2024
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness
NeurIPS 2024
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
CVPR 2024
ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic
ACL 2024
Arabic Synonym BERT-based Adversarial Examples for Text Classification
EACL 2024
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
ACL 2024
AraOffence: Detecting Offensive Speech Across Dialects in Arabic Media
Interspeech 2024