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)
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
ICML 2020
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images
CVPR 2020
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
AAAI 2020
What Makes Training Multi-Modal Classification Networks Hard?
CVPR 2020
What's Hidden in a Randomly Weighted Neural Network?
CVPR 2020
What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models
EMNLP 2020
When AWGN-Based Denoiser Meets Real Noises
AAAI 2020
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation
IJCAI 2020
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks
CVPR 2020
When to Use Convolutional Neural Networks for Inverse Problems
CVPR 2020
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
CVPR 2020
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
AAAI 2020
Which *BERT? A Survey Organizing Contextualized Encoders
EMNLP 2020
Whisper Augmented End-to-End/Hybrid Speech Recognition System — CycleGAN Approach
Interspeech 2020
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
EMNLP 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
EMNLP 2020
Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries
ACL 2020
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers
EMNLP 2020
Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements
EMNLP 2020
Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia
EMNLP 2020
Will it Unblend?
EMNLP 2020
Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets
EMNLP 2020
Winning the Lottery with Continuous Sparsification
NeurIPS 2020
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
AAAI 2020
WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition
Interspeech 2020