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)
Continual Deep Learning by Functional Regularisation of Memorable Past
NeurIPS 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
EMNLP 2020
Continual Learning in Low-rank Orthogonal Subspaces
NeurIPS 2020
Continual Learning Long Short Term Memory
EMNLP 2020
Continual Learning With Extended Kronecker-Factored Approximate Curvature
CVPR 2020
Continual Relation Learning via Episodic Memory Activation and Reconsolidation
ACL 2020
Continuous Graph Neural Networks
ICML 2020
ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection
CVPR 2020
Contrastive Distillation on Intermediate Representations for Language Model Compression
EMNLP 2020
Contrastive Learning with Adversarial Examples
NeurIPS 2020
Contrastive Self-Supervised Learning for Commonsense Reasoning
ACL 2020
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization
AAAI 2020
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
EMNLP 2020
Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies
EMNLP 2020
Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data
EMNLP 2020
Controlling Neural Machine Translation Formality with Synthetic Supervision
AAAI 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
NeurIPS 2020
Conversational Document Prediction to Assist Customer Care Agents
EMNLP 2020
Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks
Interspeech 2020
Conversational Semantic Parsing
EMNLP 2020
ConveRT: Efficient and Accurate Conversational Representations from Transformers
EMNLP 2020
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization
AAAI 2020
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis
CVPR 2020
Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet
Interspeech 2020
CookGAN: Meal Image Synthesis from Ingredients
WACV 2020