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)
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets
EMNLP 2018
Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval
IJCAI 2018
Hierarchical Imitation and Reinforcement Learning
ICML 2018
Hierarchical Neural Story Generation
ACL 2018
Hierarchical Novelty Detection for Visual Object Recognition
CVPR 2018
High-Fidelity Simulated Players for Interactive Narrative Planning
IJCAI 2018
High Performance Visual Tracking With Siamese Region Proposal Network
CVPR 2018
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs
CVPR 2018
HotFlip: White-Box Adversarial Examples for Text Classification
ACL 2018
HOUDINI: Lifelong Learning as Program Synthesis
NeurIPS 2018
How agents see things: On visual representations in an emergent language game
EMNLP 2018
How to represent a word and predict it, too: Improving tied architectures for language modelling
EMNLP 2018
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar
CVPR 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection
NeurIPS 2018
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates
EMNLP 2018
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
NeurIPS 2018
hyperdoc2vec: Distributed Representations of Hypertext Documents
ACL 2018
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
EMNLP 2018
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection
EMNLP 2018
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources
ACL 2018
Identifying Risk Factors For Heart Disease in Electronic Medical Records: A Deep Learning Approach
ACL 2018
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
EMNLP 2018
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
ACL 2018
Image Collection Pop-Up: 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories
CVPR 2018
Image Generation From Scene Graphs
CVPR 2018