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)
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
EMNLP 2020
Universal Physical Camouflage Attacks on Object Detectors
CVPR 2020
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
AAAI 2020
Universal Source-Free Domain Adaptation
CVPR 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal
AAAI 2020
Universal Weighting Metric Learning for Cross-Modal Matching
CVPR 2020
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification
ACL 2020
Unpaired Image Super-Resolution Using Pseudo-Supervision
CVPR 2020
Unpaired Point Cloud Completion on Real Scans using Adversarial Training
ICLR 2020
Unrestricted Adversarial Examples via Semantic Manipulation
ICLR 2020
Unsupervised Acoustic Unit Representation Learning for Voice Conversion Using WaveNet Auto-Encoders
Interspeech 2020
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution
CVPR 2020
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
ACL 2020
Unsupervised Anomaly Detection in Parole Hearings using Language Models
EMNLP 2020
Unsupervised Approach for Zero-Shot Experiments: Bhojpuri–Hindi and Magahi–Hindi@LoResMT 2020
AACL 2020
Unsupervised Aspect-Level Sentiment Controllable Style Transfer
AACL 2020
Unsupervised Attributed Multiplex Network Embedding
AAAI 2020
Unsupervised Audio Source Separation Using Generative Priors
Interspeech 2020
Unsupervised Clustering using Pseudo-semi-supervised Learning
ICLR 2020
Unsupervised Commonsense Question Answering with Self-Talk
EMNLP 2020
Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion
WACV 2020
Unsupervised Cross-Domain Singing Voice Conversion
Interspeech 2020
Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios
EMNLP 2020
Unsupervised Data Augmentation for Consistency Training
NeurIPS 2020
Unsupervised Deep Language and Dialect Identification for Short Texts
COLING 2020