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)
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
AAAI 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
NeurIPS 2020
Weakly-Supervised Salient Object Detection via Scribble Annotations
CVPR 2020
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels
CVPR 2020
Weakly-Supervised Semantic Segmentation via Sub-Category Exploration
CVPR 2020
Weakly Supervised Sequence Tagging from Noisy Rules
AAAI 2020
Weakly Supervised Subevent Knowledge Acquisition
EMNLP 2020
Weakly Supervised Temporal Action Localization Using Deep Metric Learning
WACV 2020
Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification
Interspeech 2020
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
AAAI 2020
Weakly-Supervised Video Re-Localization with Multiscale Attention Model
AAAI 2020
Weakly Supervised Visual Semantic Parsing
CVPR 2020
Weak Supervision for Fake News Detection via Reinforcement Learning
AAAI 2020
Webly Supervised Knowledge Embedding Model for Visual Reasoning
CVPR 2020
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification
AAAI 2020
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
EMNLP 2020
Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification
COLING 2020
Weighted-Sampling Audio Adversarial Example Attack
AAAI 2020
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning
AAAI 2020
Weight Poisoning Attacks on Pretrained Models
ACL 2020
WER we are and WER we think we are
EMNLP 2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
CVPR 2020
What can I do here? A Theory of Affordances in Reinforcement Learning
ICML 2020
What Can Learned Intrinsic Rewards Capture?
ICML 2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
EMNLP 2020