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)
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog
AAAI 2020
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging
CVPR 2020
DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization
CVPR 2020
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
AAAI 2020
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
ACL 2020
Document Level NMT of Low-Resource Languages with Backtranslation
EMNLP 2020
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
ACL 2020
Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think!
EMNLP 2020
Does Speech Enhancement of Publicly Available Data Help Build Robust Speech Recognition Systems? (Student Abstract)
AAAI 2020
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
EMNLP 2020
Do Explicit Alignments Robustly Improve Multilingual Encoders?
EMNLP 2020
Doing Something we Never could with Spoken Language Technologies-from early days to the era of deep learning
Interspeech 2020
Domain Adaptation for Image Dehazing
CVPR 2020
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification
AAAI 2020
Domain Adaptive Image-to-Image Translation
CVPR 2020
Domain Adversarial Neural Networks for Dysarthric Speech Recognition
Interspeech 2020
Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning
CVPR 2020
Domain Balancing: Face Recognition on Long-Tailed Domains
CVPR 2020
Domain Conditioned Adaptation Network
AAAI 2020
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
CVPR 2020
Domain Generalization Using a Mixture of Multiple Latent Domains
AAAI 2020
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
EMNLP 2020
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
EMNLP 2020
Do Neural Language Models Show Preferences for Syntactic Formalisms?
ACL 2020
Don't Hit Me! Glass Detection in Real-World Scenes
CVPR 2020