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)
Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020
EMNLP 2020
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
AAAI 2020
Nested Scale-Editing for Conditional Image Synthesis
CVPR 2020
NestedVAE: Isolating Common Factors via Weak Supervision
CVPR 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
AISTATS 2020
Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance
AAAI 2020
Network Representation Learning Algorithm Based on Neighborhood Influence Sequence
ACML 2020
NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative
EMNLP 2020
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
AAAI 2020
Neural Architecture Search for Lightweight Non-Local Networks
CVPR 2020
Neural Blind Deconvolution Using Deep Priors
CVPR 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
CVPR 2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence
ACL 2020
Neural-DINF: A Neural Network based Framework for Measuring Document Influence
ACL 2020
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
EMNLP 2020
Neural Head Reenactment with Latent Pose Descriptors
CVPR 2020
Neural Implicit Embedding for Point Cloud Analysis
CVPR 2020
Neural Kernels Without Tangents
ICML 2020
Neural Machine Translation for Similar Languages: The Case of Indo-Aryan Languages
EMNLP 2020
Neural Machine Translation with Byte-Level Subwords
AAAI 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
EMNLP 2020
Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning
NeurIPS 2020
Neural Question Generation with Answer Pivot
AAAI 2020
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning
AAAI 2020
Neural Snowball for Few-Shot Relation Learning
AAAI 2020