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)
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics
CVPR 2020
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
AAAI 2020
An AI-empowered Visual Storyline Generator
IJCAI 2020
Analogous Process Structure Induction for Sub-event Sequence Prediction
EMNLP 2020
Analogy Models for Neural Word Inflection
COLING 2020
Analysing Lexical Semantic Change with Contextualised Word Representations
ACL 2020
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring
NeurIPS 2020
Analyzing Breath Signals for the Interspeech 2020 ComParE Challenge
Interspeech 2020
Analyzing Neural Discourse Coherence Models
EMNLP 2020
Analyzing Redundancy in Pretrained Transformer Models
EMNLP 2020
An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios
EMNLP 2020
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation
EMNLP 2020
An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models
ACL 2020
An Analytical Workflow for Clustering Forensic Images (Student Abstract)
AAAI 2020
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training
AAAI 2020
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation
AAAI 2020
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning
AAAI 2020
An Auto-Encoder Strategy for Adaptive Image Segmentation
MIDL 2020
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
AAAI 2020
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning
AAAI 2020
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results
ACL 2020
An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection
Interspeech 2020
An Effective Speaker Recognition Method Based on Joint Identification and Verification Supervisions
Interspeech 2020
An Efficient Adversarial Attack for Tree Ensembles
NeurIPS 2020
An Efficient PointLSTM for Point Clouds Based Gesture Recognition
CVPR 2020