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)
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data
EMNLP 2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
NeurIPS 2023
Exploring the Reasons for Non-generalizability of KBQA systems
EACL 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
CVPR 2023
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
ICLR 2023
Exploring the Sensitivity of LLMs’ Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters
EMNLP 2023
Exploring Transformers for Open-world Instance Segmentation
ICCV 2023
Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification
AAAI 2023
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
ICCV 2023
ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook
EMNLP 2023
Exponential Hardness of Reinforcement Learning with Linear Function Approximation
COLT 2023
Exposing Attention Glitches with Flip-Flop Language Modeling
NeurIPS 2023
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels
AAAI 2023
Expository Text Generation: Imitate, Retrieve, Paraphrase
EMNLP 2023
Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis
Interspeech 2023
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
JMLR 2023
Extending an Event-type Ontology: Adding Verbs and Classes Using Fine-tuned LLMs Suggestions
ACL 2023
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains
ICML 2023
Extensible Prompts for Language Models on Zero-shot Language Style Customization
NeurIPS 2023
Extracting Class Activation Maps From Non-Discriminative Features As Well
CVPR 2023
Extracting Reward Functions from Diffusion Models
NeurIPS 2023
Extracting Robust Models with Uncertain Examples
ICLR 2023
Extracting Shopping Interest-Related Product Types from the Web
ACL 2023
Extracting Text Representations for Terms and Phrases in Technical Domains
ACL 2023
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization
ACL 2023