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)
Rethinking Differentiable Search for Mixed-Precision Neural Networks
CVPR 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift
NeurIPS 2020
Re-Thinking LiDAR-Stereo Fusion Frameworks (Student Abstract)
AAAI 2020
Rethinking Performance Estimation in Neural Architecture Search
CVPR 2020
Rethinking Pre-training and Self-training
NeurIPS 2020
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
ICLR 2020
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems
EMNLP 2020
Rethinking the Route Towards Weakly Supervised Object Localization
CVPR 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
NeurIPS 2020
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications
CVPR 2020
Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View
EMNLP 2020
Retrofitting Structure-aware Transformer Language Model for End Tasks
EMNLP 2020
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT
EMNLP 2020
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
CVPR 2020
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments
CVPR 2020
Reverse Perspective Network for Perspective-Aware Object Counting
CVPR 2020
Reverse Variational Autoencoder for Visual Attribute Manipulation and Anomaly Detection
WACV 2020
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
AAAI 2020
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
AAAI 2020
Revisiting Online Quantum State Learning
AAAI 2020
Revisiting Parameter Sharing for Automatic Neural Channel Number Search
NeurIPS 2020
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
CVPR 2020
Revisiting Rumour Stance Classification: Dealing with Imbalanced Data
COLING 2020
Revisiting Stochastic Extragradient
AISTATS 2020
Revisiting Unsupervised Relation Extraction
ACL 2020