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)
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
ICLR 2024
On the Parameter Identifiability of Partially Observed Linear Causal Models
NeurIPS 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX
AISTATS 2024
On the Provable Advantage of Unsupervised Pretraining
ICLR 2024
On the Quantification of Image Reconstruction Uncertainty Without Training Data
WACV 2024
On the Relationship between Truth and Political Bias in Language Models
EMNLP 2024
On the Reliability of Psychological Scales on Large Language Models
EMNLP 2024
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights
EMNLP 2024
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
CVPR 2024
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks
CVPR 2024
On the Robustness of Neural Models for Full Sentence Transformation
NAACL 2024
On the Role of Discrete Tokenization in Visual Representation Learning
ICLR 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
NeurIPS 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
JMLR 2024
On the Scalability of Certified Adversarial Robustness with Generated Data
NeurIPS 2024
On the social bias of speech self-supervised models
Interspeech 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation
AISTATS 2024
On the Success and Limitations of Auxiliary Network Based Word-Level End-to-End Neural Speaker Diarization
Interspeech 2024
On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do We Really Need Prompt Learning?
CVPR 2024
On the Use of Anchoring for Training Vision Models
NeurIPS 2024
On the Use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
COLING 2024
On the Utility of Pretraining Language Models on Synthetic Data
ACL 2024
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
ICLR 2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
AISTATS 2024