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)
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent
AISTATS 2024
Abductive Ego-View Accident Video Understanding for Safe Driving Perception
CVPR 2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
NeurIPS 2024
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions
ACL 2024
ABLE: Personalized Disability Support with Politeness and Empathy Integration
EMNLP 2024
ABM: Attention before Manipulation
IJCAI 2024
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
NeurIPS 2024
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters
ACL 2024
Abrupt Learning in Transformers: A Case Study on Matrix Completion
NeurIPS 2024
AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph
NAACL 2024
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
AAAI 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
NeurIPS 2024
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
NeurIPS 2024
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity
AISTATS 2024
A/B testing under Interference with Partial Network Information
AISTATS 2024
Academics Can Contribute to Domain-Specialized Language Models
EMNLP 2024
A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
CVPR 2024
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
AAAI 2024
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
NeurIPS 2024
A Causal Approach for Counterfactual Reasoning in Narratives
ACL 2024
Accelerated Sampling with Stacked Restricted Boltzmann Machines
ICLR 2024
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
AAAI 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing
AAAI 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
AISTATS 2024
Accelerating Augmentation Invariance Pretraining
NeurIPS 2024