Learning Types
56,254 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 (1,984)
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
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification
SemEval 2023
How Bad is Top-K Recommendation under Competing Content Creators?
ICML 2023
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
AISTATS 2023
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
ICLR 2023
How does the task complexity of masked pretraining objectives affect downstream performance?
ACL 2023
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks
ACL 2023
How Do In-Context Examples Affect Compositional Generalization?
ACL 2023
How Good Is the Model in Model-in-the-loop Event Coreference Resolution Annotation?
ACL 2023
How Many Data Samples is an Additional Instruction Worth?
EACL 2023
How Many Demonstrations Do You Need for In-context Learning?
EMNLP 2023
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
ICML 2023
How much does Initialization Affect Generalization?
ICML 2023
How Much Syntactic Supervision is “Good Enough”?
EACL 2023
How people talk about each other: Modeling Generalized Intergroup Bias and Emotion
EACL 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
EMNLP 2023
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts
EMNLP 2023
How robust is unsupervised representation learning to distribution shift?
ICLR 2023
How Sharpness-Aware Minimization Minimizes Sharpness?
ICLR 2023
How to Backdoor Diffusion Models?
CVPR 2023
How to Boost Face Recognition with StyleGAN?
ICCV 2023
How to Choose your Best Allies for a Transferable Attack?
ICCV 2023
How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning
Interspeech 2023
How to Control Sentiment in Text Generation: A Survey of the State-of-the-Art in Sentiment-Control Techniques
ACL 2023
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
EMNLP 2023
How to Estimate Model Transferability of Pre-Trained Speech Models?
Interspeech 2023