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)
A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature
EMNLP 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation
JMLR 2020
Aspect Extraction Using Coreference Resolution and Unsupervised Filtering
AACL 2020
Aspect Sentiment Classification with Aspect-Specific Opinion Spans
EMNLP 2020
Aspect Sentiment Classification with Document-level Sentiment Preference Modeling
ACL 2020
ASR Error Correction with Augmented Transformer for Entity Retrieval
Interspeech 2020
Assessing Human-Parity in Machine Translation on the Segment Level
EMNLP 2020
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
AAAI 2020
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent
EMNLP 2020
Assisting Undergraduate Students in Writing Spanish Methodology Sections
ACL 2020
Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators
AAAI 2020
A State-independent and Time-evolving Network for Early Rumor Detection in Social Media
EMNLP 2020
A Statistical Learning Approach to Modal Regression
JMLR 2020
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction
CVPR 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
AAAI 2020
A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments
IJCAI 2020
A Study of Non-autoregressive Model for Sequence Generation
ACL 2020
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review
UAI 2020
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT
EMNLP 2020
A Survey on Computational Propaganda Detection
IJCAI 2020
A Survey on Using Gaze Behaviour for Natural Language Processing
IJCAI 2020
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
AAAI 2020
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
AAAI 2020
Asymmetric Distribution Measure for Few-shot Learning
IJCAI 2020
Asynchronous Deep Model Reference Adaptive Control
CoRL 2020