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)
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation
CVPR 2019
Imitation Learning from Observation
AAAI 2019
IM-Net for High Resolution Video Frame Interpolation
CVPR 2019
Implanting Rational Knowledge into Distributed Representation at Morpheme Level
AAAI 2019
Implicit Argument Prediction as Reading Comprehension
AAAI 2019
Implicit Kernel Learning
AISTATS 2019
Implicit Semantic Data Augmentation for Deep Networks
NeurIPS 2019
Importance Resampling for Off-policy Prediction
NeurIPS 2019
Improved Generalization of Arabic Text Classifiers
ACL 2019
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text
ACL 2019
Improved Speech Separation with Time-and-Frequency Cross-Domain Joint Embedding and Clustering
Interspeech 2019
Improving Action Localization by Progressive Cross-Stream Cooperation
CVPR 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior
NeurIPS 2019
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
EMNLP 2019
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector
AAAI 2019
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks
AAAI 2019
Improving Emotion Identification Using Phone Posteriors in Raw Speech Waveform Based DNN
Interspeech 2019
Improving GAN with Neighbors Embedding and Gradient Matching
AAAI 2019
Improving Generative Visual Dialog by Answering Diverse Questions
EMNLP 2019
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning
AAAI 2019
Improving Image Captioning with Conditional Generative Adversarial Nets
AAAI 2019
Improving Large Vocabulary Urdu Speech Recognition System Using Deep Neural Networks
Interspeech 2019
Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator
EMNLP 2019
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations
ACL 2019
Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise
ACL 2019