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)
DS at SemEval-2019 Task 9: From Suggestion Mining with neural networks to adversarial cross-domain classification
SemEval 2019
DSINE: Deep Structural Influence Learning via Network Embedding
AAAI 2019
DSTC7 Task 1: Noetic End-to-End Response Selection
ACL 2019
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
ACL 2019
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
NeurIPS 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
NeurIPS 2019
Dual Encoding for Zero-Example Video Retrieval
CVPR 2019
Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data
ACL 2019
Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology
IJCAI 2019
Dual Semi-Supervised Learning for Facial Action Unit Recognition
AAAI 2019
Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning
ICCV 2019
Dual Supervised Learning for Natural Language Understanding and Generation
ACL 2019
Dual Variational Generation for Low Shot Heterogeneous Face Recognition
NeurIPS 2019
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning
AAAI 2019
Dual-View Variational Autoencoders for Semi-Supervised Text Matching
IJCAI 2019
Dual Visual Attention Network for Visual Dialog
IJCAI 2019
Dueling Bandits with Qualitative Feedback
AAAI 2019
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense
ICCV 2019
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering
ACL 2019
Dying Experts: Efficient Algorithms with Optimal Regret Bounds
NeurIPS 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation
ACL 2019
Dynamically Visual Disambiguation of Keyword-based Image Search
IJCAI 2019
Dynamic Context Correspondence Network for Semantic Alignment
ICCV 2019
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
NeurIPS 2019
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue
AAAI 2019