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)
Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing
ACL 2020
DSNAS: Direct Neural Architecture Search Without Parameter Retraining
CVPR 2020
Dual Adversarial Co-Learning for Multi-Domain Text Classification
AAAI 2020
Dual Attention in Time and Frequency Domain for Voice Activity Detection
Interspeech 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
NeurIPS 2020
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks
ICML 2020
Dual Policy Distillation
IJCAI 2020
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation
EMNLP 2020
Dual Relation Semi-Supervised Multi-Label Learning
AAAI 2020
Dual Stage Learning Based Dynamic Time-Frequency Mask Generation for Audio Event Classification
Interspeech 2020
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation
COLING 2020
DualTKB: A Dual Learning Bridge between Text and Knowledge Base
EMNLP 2020
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
NeurIPS 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior
CVPR 2020
Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression
SemEval 2020
Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines
SemEval 2020
DUNIT: Detection-Based Unsupervised Image-to-Image Translation
CVPR 2020
DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification
SemEval 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
NeurIPS 2020
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery
ICLR 2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change
ACL 2020
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning
EMNLP 2020
Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
EMNLP 2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation
EMNLP 2020
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog
ACL 2020