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
'5
'10
'15
'20
'25
Papers (including subtopics)
Contrastive Self-Supervised Learning for Commonsense Reasoning
ACL 2020
Contrastive Variational Reinforcement Learning for Complex Observations
CoRL 2020
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack
COLING 2020
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization
AAAI 2020
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
EMNLP 2020
Controllable Text Generation with Focused Variation
EMNLP 2020
Controlled Crowdsourcing for High-Quality QA-SRL Annotation
ACL 2020
Controlling Contact-Rich Manipulation Under Partial Observability
RSS 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
ICML 2020
Convergence of Gradient Methods on Bilinear Zero-Sum Games
ICLR 2020
Converting Anyone’s Emotion: Towards Speaker-Independent Emotional Voice Conversion
Interspeech 2020
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions
ICML 2020
Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection
IJCAI 2020
Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet
Interspeech 2020
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning
IJCAI 2020
Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises
CVPR 2020
Coordination without communication: optimal regret in two players multi-armed bandits
COLT 2020
CoPhy: Counterfactual Learning of Physical Dynamics
ICLR 2020
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech
Interspeech 2020
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
AAAI 2020
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models
EMNLP 2020
Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning
AAAI 2020
CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles
EMNLP 2020
CoRefi: A Crowd Sourcing Suite for Coreference Annotation
EMNLP 2020
Coresets for Robust Training of Deep Neural Networks against Noisy Labels
NeurIPS 2020