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)
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection
CVPR 2019
ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects
ACL 2019
Zero-Resource Neural Machine Translation with Monolingual Pivot Data
EMNLP 2019
Zero-Shot Adaptive Transfer for Conversational Language Understanding
AAAI 2019
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention
ACL 2019
Zero-Shot Cross-lingual Name Retrieval for Low-Resource Languages
EMNLP 2019
Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations
EMNLP 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching
NeurIPS 2019
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
AAAI 2019
Zero-shot Learning via Simultaneous Generating and Learning
NeurIPS 2019
Zero-Shot Neural Transfer for Cross-Lingual Entity Linking
AAAI 2019
Zero-Shot Object Detection with Textual Descriptions
AAAI 2019
Zero-Shot Semantic Segmentation
NeurIPS 2019
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings
ACL 2019
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation
CVPR 2019
Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination
CVPR 2019
2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning
CVPR 2018
3D Human Pose Estimation in the Wild by Adversarial Learning
CVPR 2018
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
CVPR 2018
A Bayesian Approach to Generative Adversarial Imitation Learning
NeurIPS 2018
A Bi-Directional Message Passing Model for Salient Object Detection
CVPR 2018
A Case Study on Learning a Unified Encoder of Relations
EMNLP 2018
Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective
CVPR 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression
ICML 2018
A Challenge Set and Methods for Noun-Verb Ambiguity
EMNLP 2018