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
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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)
Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network
ICCV 2021
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
AAAI 2021
Exploiting structured data for learning contagious diseases under incomplete testing
ICML 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
NeurIPS 2021
Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings
EMNLP 2021
Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning
AAAI 2021
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models
ACL 2021
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework
AAAI 2021
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
NeurIPS 2021
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory
AAAI 2021
Exploration via State influence Modeling
AAAI 2021
Exploratory Machine Learning with Unknown Unknowns
AAAI 2021
Exploratory Model Analysis Using Data-Driven Neuron Representations
EMNLP 2021
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
AISTATS 2021
Explore Visual Concept Formation for Image Classification
ICML 2021
Explore wav2vec 2.0 for Mispronunciation Detection
Interspeech 2021
Exploring Adversarial Fake Images on Face Manifold
CVPR 2021
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving
CoRL 2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
CVPR 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
NeurIPS 2021
Exploring Balanced Feature Spaces for Representation Learning
ICLR 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
CVPR 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
ICCV 2021
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts
CVPR 2021
Exploring Decomposition for Table-based Fact Verification
EMNLP 2021