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)
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
AAAI 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
CVPR 2022
Pushing the Performance Limit of Scene Text Recognizer Without Human Annotation
CVPR 2022
Pyramid Adversarial Training Improves ViT Performance
CVPR 2022
Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation
CVPR 2022
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining
NeurIPS 2022
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case
NeurIPS 2022
QAConv: Question Answering on Informative Conversations
ACL 2022
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation
EMNLP 2022
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization
NAACL 2022
Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty
ACL 2022
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance
EMNLP 2022
QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation
CVPR 2022
QSTS: A Question-Sensitive Text Similarity Measure for Question Generation
COLING 2022
Quadric Hypersurface Intersection for Manifold Learning in Feature Space
AISTATS 2022
Qualitative Evaluation of Language Model Rescoring in Automatic Speech Recognition
Interspeech 2022
Quality-Aware Decoding for Neural Machine Translation
NAACL 2022
Quality Controlled Paraphrase Generation
ACL 2022
QuALITY: Question Answering with Long Input Texts, Yes!
NAACL 2022
Quantified Reproducibility Assessment of NLP Results
ACL 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
NAACL 2022
Quantifying and Learning Linear Symmetry-Based Disentanglement
ICML 2022
Quantifying Language Variation Acoustically with Few Resources
NAACL 2022
Quantifying Synthesis and Fusion and their Impact on Machine Translation
NAACL 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
NeurIPS 2022