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
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'25
Papers (including subtopics)
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
ACL 2019
Exploiting Explicit Paths for Multi-hop Reading Comprehension
ACL 2019
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
ACL 2019
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
AAAI 2019
Exploiting Monolingual Data at Scale for Neural Machine Translation
EMNLP 2019
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation
EMNLP 2019
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild
CVPR 2019
Exploiting the Contagious Effect for Employee Turnover Prediction
AAAI 2019
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection
AAAI 2019
Exploring Author Context for Detecting Intended vs Perceived Sarcasm
ACL 2019
Exploring Deep Multimodal Fusion of Text and Photo for Hate Speech Classification
ACL 2019
Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations
ACL 2019
Exploring Diverse Expressions for Paraphrase Generation
EMNLP 2019
Exploring Human Gender Stereotypes with Word Association Test
EMNLP 2019
Exploring Human-Like Reading Strategy for Abstractive Text Summarization
AAAI 2019
Exploring Methods for the Automatic Detection of Errors in Manual Transcription
Interspeech 2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
CVPR 2019
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation
ACL 2019
Exploring the Landscape of Spatial Robustness
ICML 2019
Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation
ACL 2019
Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
CVPR 2019
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
NeurIPS 2019
Extracting Possessions from Social Media: Images Complement Language
EMNLP 2019
Extracting Symptoms and their Status from Clinical Conversations
ACL 2019
Extractive Summarization of Long Documents by Combining Global and Local Context
EMNLP 2019