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)
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation
AAAI 2020
Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives
AAAI 2020
Hindi History Note Generation with Unsupervised Extractive Summarization
AACL 2020
HINT3: Raising the bar for Intent Detection in the Wild
EMNLP 2020
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation
ACL 2020
Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels Using Statistical Sampling and Post-Processing
SemEval 2020
Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition
SemEval 2020
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction
EMNLP 2020
HMPO: Human Motion Prediction in Occluded Environments for Safe Motion Planning
RSS 2020
Hold me tight! Influence of discriminative features on deep network boundaries
NeurIPS 2020
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
AAAI 2020
How Does Label Noise Affect the Quality of Speaker Embeddings?
Interspeech 2020
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
ACL 2020
How Far Can We Go with Data Selection? A Case Study on Semantic Sequence Tagging Tasks
EMNLP 2020
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?
ACL 2020
How Much Time Do You Have? Modeling Multi-Duration Saliency
CVPR 2020
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
NeurIPS 2020
How Should an Agent Practice?
AAAI 2020
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
AAAI 2020
How to Ask Good Questions? Try to Leverage Paraphrases
ACL 2020
How to Predict Seawater Temperature for Sustainable Marine Aquaculture (Student Abstract)
AAAI 2020
How to Tame Your Data: Data Augmentation for Dialog State Tracking
ACL 2020
How Useful Is Self-Supervised Pretraining for Visual Tasks?
CVPR 2020
How well does surprisal explain N400 amplitude under different experimental conditions?
CoNLL 2020
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification
EMNLP 2020