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)
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
ICML 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification
ACL 2020
Dynamic Network Pruning with Interpretable Layerwise Channel Selection
AAAI 2020
Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments
AAAI 2020
Dynamic Sampling Strategies for Multi-Task Reading Comprehension
ACL 2020
Dynamics-Aware Embeddings
ICLR 2020
Dynamics-Aware Unsupervised Discovery of Skills
ICLR 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
EMNLP 2020
DYNOTEARS: Structure Learning from Time-Series Data
AISTATS 2020
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning
COLING 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
NeurIPS 2020
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
AAAI 2020
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks
AAAI 2020
e-Commerce and Sentiment Analysis: Predicting Outcomes of Class Action Lawsuits
ACL 2020
ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction
ACL 2020
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets
EMNLP 2020
EEG-Based Short-Time Auditory Attention Detection Using Multi-Task Deep Learning
Interspeech 2020
Effective Architectures for Low Resource Multilingual Named Entity Transliteration
AACL 2020
Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports
EMNLP 2020
Effective Diversity in Population Based Reinforcement Learning
NeurIPS 2020
Effectively Aligning and Filtering Parallel Corpora under Sparse Data Conditions
ACL 2020
Effectively pretraining a speech translation decoder with Machine Translation data
EMNLP 2020
Effectively Unbiased FID and Inception Score and Where to Find Them
CVPR 2020
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
IJCAI 2020
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
EMNLP 2020