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)
R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network
CVPR 2019
R3 Adversarial Network for Cross Model Face Recognition
CVPR 2019
RACAI’s System at PharmaCoNER 2019
EMNLP 2019
Rademacher Complexity for Adversarially Robust Generalization
ICML 2019
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics
JMLR 2019
Randomized Value Functions via Multiplicative Normalizing Flows
UAI 2019
Random mesh projectors for inverse problems
ICLR 2019
Random Path Selection for Continual Learning
NeurIPS 2019
Random Tessellation Forests
NeurIPS 2019
RANet: Ranking Attention Network for Fast Video Object Segmentation
ICCV 2019
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
NAACL 2019
Ranking-Based Deep Cross-Modal Hashing
AAAI 2019
Rapid Performance Gain through Active Model Reuse
IJCAI 2019
Rare Event Detection Using Disentangled Representation Learning
CVPR 2019
RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification
Interspeech 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability
RSS 2019
Reading Like HER: Human Reading Inspired Extractive Summarization
EMNLP 2019
Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension
ACL 2019
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos
AAAI 2019
Real-Time Adversarial Attacks
IJCAI 2019
Real-Time Self-Adaptive Deep Stereo
CVPR 2019
Reasoning over Streaming Data in Metric Temporal Datalog
AAAI 2019
Receding Horizon Curiosity
CoRL 2019
Recent Advances in Imitation Learning from Observation
IJCAI 2019
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering
ICCV 2019