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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'20
'25
Papers (including subtopics)
The Effect of Arabic Dialect Familiarity on Data Annotation
EMNLP 2022
The Effects of Corpus Choice and Morphosyntax on Multilingual Space Induction
EMNLP 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
ICLR 2022
The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation
Interspeech 2022
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
ICLR 2022
The Geometry of Robust Value Functions
ICML 2022
The Implicit Delta Method
NeurIPS 2022
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains
EMNLP 2022
The Importance of Future Information in Credit Card Fraud Detection
AISTATS 2022
The Importance of Hyperparameter Optimisation for Facial Recognition Applications
AAAI 2022
The Importance of Non-Markovianity in Maximum State Entropy Exploration
ICML 2022
The Infinite Contextual Graph Markov Model
ICML 2022
The Information Geometry of Unsupervised Reinforcement Learning
ICLR 2022
The King Is Naked: On the Notion of Robustness for Natural Language Processing
AAAI 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
NeurIPS 2022
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
NeurIPS 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
ICML 2022
The Neural Testbed: Evaluating Joint Predictions
NeurIPS 2022
The NiuTrans Machine Translation Systems for WMT22
EMNLP 2022
The NiuTrans’s Submission to the IWSLT22 English-to-Chinese Offline Speech Translation Task
ACL 2022
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
CVPR 2022
The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of Eurasia
COLING 2022
The optimal noise in noise-contrastive learning is not what you think
UAI 2022
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
JMLR 2022
The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication
COLT 2022