Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings
EMNLP 2022
Exploring Geometric Consistency for Monocular 3D Object Detection
CVPR 2022
Exploring Length Generalization in Large Language Models
NeurIPS 2022
Exploring Logographic Image for Chinese Aspect-based Sentiment Classification
EMNLP 2022
Exploring Mode Connectivity for Pre-trained Language Models
EMNLP 2022
Exploring Motion and Appearance Information for Temporal Sentence Grounding
AAAI 2022
Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis
EMNLP 2022
Exploring Safer Behaviors for Deep Reinforcement Learning
AAAI 2022
Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation
EMNLP 2022
Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors
ACL 2022
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
ICML 2022
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
ACL 2022
Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction
Interspeech 2022
Exploring the Latent Space of Autoencoders with Interventional Assays
NeurIPS 2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
NeurIPS 2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks
EMNLP 2022
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
ICML 2022
Expressive Talking Head Generation With Granular Audio-Visual Control
CVPR 2022
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
ICML 2022
Extracting Operator Trees from Model Embeddings
EMNLP 2022
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking
ACL 2022
Extractive Knowledge Distillation
WACV 2022
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance
EMNLP 2022
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training
ACL 2022
Extreme Zero-Shot Learning for Extreme Text Classification
NAACL 2022