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)
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling
EMNLP 2020
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks
NeurIPS 2020
Diversity Transfer Network for Few-Shot Learning
AAAI 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
ICLR 2020
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data
CVPR 2020
DNNs as Layers of Cooperating Classifiers
AAAI 2020
Do Adversarially Robust ImageNet Models Transfer Better?
NeurIPS 2020
DocBank: A Benchmark Dataset for Document Layout Analysis
COLING 2020
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
ACL 2020
Document Level NMT of Low-Resource Languages with Backtranslation
EMNLP 2020
Document Ranking with a Pretrained Sequence-to-Sequence Model
EMNLP 2020
Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No
WACV 2020
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
ACL 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
EMNLP 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
NeurIPS 2020
Do Explicit Alignments Robustly Improve Multilingual Encoders?
EMNLP 2020
Do GANs always have Nash equilibria?
ICML 2020
Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble
EMNLP 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
NeurIPS 2020
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification
AAAI 2020
Domain Adaptive Classification on Heterogeneous Information Networks
IJCAI 2020
Domain Adaptive Imitation Learning
ICML 2020
Domain Adversarial Neural Networks for Dysarthric Speech Recognition
Interspeech 2020
Domain Aggregation Networks for Multi-Source Domain Adaptation
ICML 2020