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)
An End-to-End Deep Learning Framework for Speech Emotion Recognition of Atypical Individuals
Interspeech 2018
An End-to-End Multi-task Learning Model for Fact Checking
EMNLP 2018
A Neural Layered Model for Nested Named Entity Recognition
NAACL 2018
A neural parser as a direct classifier for head-final languages
ACL 2018
A Neural Representation of Sketch Drawings
ICLR 2018
A New Method of Region Embedding for Text Classification
ICLR 2018
Angular Softmax for Short-Duration Text-independent Speaker Verification
Interspeech 2018
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM
EMNLP 2018
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking
EMNLP 2018
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
EMNLP 2018
An Operation Sequence Model for Explainable Neural Machine Translation
EMNLP 2018
A no-regret generalization of hierarchical softmax to extreme multi-label classification
NeurIPS 2018
Answer-focused and Position-aware Neural Question Generation
EMNLP 2018
An Unsupervised Learning Model for Deformable Medical Image Registration
CVPR 2018
An Unsupervised Neural Prediction Framework for Learning Speaker Embeddings Using Recurrent Neural Networks
Interspeech 2018
Aperture Supervision for Monocular Depth Estimation
CVPR 2018
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning
EMNLP 2018
Approximating Real-Time Recurrent Learning with Random Kronecker Factors
NeurIPS 2018
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images
EMNLP 2018
A Purely End-to-End System for Multi-speaker Speech Recognition
ACL 2018
Arbitrary Style Transfer With Deep Feature Reshuffle
CVPR 2018
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems
EMNLP 2018
A Retrieve-and-Edit Framework for Predicting Structured Outputs
NeurIPS 2018
Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning
CVPR 2018
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
ACL 2018