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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'20
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Papers (including subtopics)
Describing Like Humans: On Diversity in Image Captioning
CVPR 2019
Description-Based Zero-shot Fine-Grained Entity Typing
NAACL 2019
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces
RSS 2019
Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes
ICCV 2019
Detecting Aggression and Toxicity using a Multi Dimension Capsule Network
ACL 2019
Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention
ACL 2019
Detecting and Reducing Bias in a High Stakes Domain
EMNLP 2019
Detecting cognitive impairments by agreeing on interpretations of linguistic features
NAACL 2019
Detecting Concealed Information in Text and Speech
ACL 2019
Detecting context abusiveness using hierarchical deep learning
EMNLP 2019
Detecting Derogatory Compounds – An Unsupervised Approach
NAACL 2019
Detecting Egregious Responses in Neural Sequence-to-sequence Models
ICLR 2019
Detecting Mismatch Between Speech and Transcription Using Cross-Modal Attention
Interspeech 2019
Detecting Overfitting via Adversarial Examples
NeurIPS 2019
Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network
IJCAI 2019
Detecting Subevents using Discourse and Narrative Features
ACL 2019
Detecting the Unexpected via Image Resynthesis
ICCV 2019
Detecting Topic-Oriented Speaker Stance in Conversational Speech
Interspeech 2019
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View
CVPR 2019
Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks
Interspeech 2019
Detection of Propaganda Using Logistic Regression
EMNLP 2019
Determinantal Point Processes for Coresets
JMLR 2019
Determinantal Reinforcement Learning
AAAI 2019
Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment
Interspeech 2019
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations
CVPR 2019