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)
PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings
EMNLP 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
CVPR 2020
Pushing the Limits of AMR Parsing with Self-Learning
EMNLP 2020
Putting Visual Object Recognition in Context
CVPR 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
ICML 2020
PyGlove: Symbolic Programming for Automated Machine Learning
NeurIPS 2020
PyMT5: multi-mode translation of natural language and Python code with transformers
EMNLP 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
CVPR 2020
Quantifying Intimacy in Language
EMNLP 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
NeurIPS 2020
Quantifying the Contextualization of Word Representations with Semantic Class Probing
EMNLP 2020
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
RSS 2020
QuASE: Question-Answer Driven Sentence Encoding
ACL 2020
Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings
ICLR 2020
Query-Driven Multi-Instance Learning
AAAI 2020
Question Answering with Long Multiple-Span Answers
EMNLP 2020
R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features
AAAI 2020
Rˆ3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
ACL 2020
Random Erasing Data Augmentation
AAAI 2020
RANet: Region Attention Network for Semantic Segmentation
NeurIPS 2020
RankMI: A Mutual Information Maximizing Ranking Loss
CVPR 2020
Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking
AAAI 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
NeurIPS 2020
Raw Sign and Magnitude Spectra for Multi-Head Acoustic Modelling
Interspeech 2020
RDCFace: Radial Distortion Correction for Face Recognition
CVPR 2020