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)
Neural Similarity Learning
NeurIPS 2019
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
CVPR 2019
Neural Temporal-Difference Learning Converges to Global Optima
NeurIPS 2019
Neural Topic Model with Reinforcement Learning
EMNLP 2019
Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia
Interspeech 2019
Neural Word Decomposition Models for Abusive Language Detection
ACL 2019
NICT’s participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT
EMNLP 2019
NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task
ACL 2019
NICT’s Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task
ACL 2019
NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task
ACL 2019
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection
EMNLP 2019
NLPRL at WAT2019: Transformer-based Tamil – English Indic Task Neural Machine Translation System
EMNLP 2019
NLP@UNED at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets
ACL 2019
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences
CVPR 2019
No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects
ACL 2019
Noise2Void - Learning Denoising From Single Noisy Images
CVPR 2019
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
CVPR 2019
Noise Contrastive Priors for Functional Uncertainty
UAI 2019
Noise-Tolerant Paradigm for Training Face Recognition CNNs
CVPR 2019
Noisy Channel for Low Resource Grammatical Error Correction
ACL 2019
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors
CVPR 2019
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
AAAI 2019
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
NeurIPS 2019
Nonparallel Emotional Speech Conversion
Interspeech 2019
Normalized Diversification
CVPR 2019