Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition
CVPR 2019
Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness
IJCAI 2019
Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content
AAAI 2019
Feature Space Perturbations Yield More Transferable Adversarial Examples
CVPR 2019
Feature Transfer Learning for Face Recognition With Under-Represented Data
CVPR 2019
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
CVPR 2019
Fermi at SemEval-2019 Task 4: The sarah-jane-smith Hyperpartisan News Detector
SemEval 2019
FEVER Breaker’s Run of Team NbAuzDrLqg
EMNLP 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
EMNLP 2019
Few-Shot Adaptive Faster R-CNN
CVPR 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
ICCV 2019
Few-Shot and Zero-Shot Learning for Historical Text Normalization
EMNLP 2019
Few-Shot Audio Classification with Attentional Graph Neural Networks
Interspeech 2019
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
AAAI 2019
Few-Shot Learning With Global Class Representations
ICCV 2019
Few-Shot Learning With Localization in Realistic Settings
CVPR 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
ACL 2019
Few-Shot Unsupervised Image-to-Image Translation
ICCV 2019
Few-shot Video-to-Video Synthesis
NeurIPS 2019
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
CVPR 2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
ACL 2019
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection
ACL 2019
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection
ACL 2019
Financial Event Extraction Using Wikipedia-Based Weak Supervision
EMNLP 2019
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
AAAI 2019