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)
A Geometry-Inspired Decision-Based Attack
ICCV 2019
Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation
ICCV 2019
Aggressive Driving Saves More Time? Multi-task Learning for Customized Travel Time Estimation
IJCAI 2019
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
AAAI 2019
A Hierarchically-Labeled Portuguese Hate Speech Dataset
ACL 2019
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks
AAAI 2019
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
ACL 2019
Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets
ACL 2019
AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion
IJCAI 2019
AIRD: Adversarial Learning Framework for Image Repurposing Detection
CVPR 2019
A Kernel Multiple Change-point Algorithm via Model Selection
JMLR 2019
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
EMNLP 2019
A Label Informative Wide & Deep Classifier for Patents and Papers
EMNLP 2019
A Large-Scale Corpus for Conversation Disentanglement
ACL 2019
A Learnable Safety Measure
CoRL 2019
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
ICCV 2019
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision
ICCV 2019
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources
AAAI 2019
Alignment over Heterogeneous Embeddings for Question Answering
NAACL 2019
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
NeurIPS 2019
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers
EMNLP 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning
NeurIPS 2019
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services
AAAI 2019
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model
NeurIPS 2019
(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus
ACL 2019