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)
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm
NeurIPS 2020
Suspicion-Free Adversarial Attacks on Clustering Algorithms
AAAI 2020
SVRG for Policy Evaluation with Fewer Gradient Evaluations
IJCAI 2020
Swarm Intelligence for Self-Organized Clustering (Extended Abstract)
IJCAI 2020
Swimming with the Tide? Positional Claim Detection across Political Text Types
EMNLP 2020
Switching Poisson Gamma Dynamical Systems
IJCAI 2020
SymGAN: Orientation Estimation without Annotation for Symmetric Objects
WACV 2020
Symmetry and Group in Attribute-Object Compositions
CVPR 2020
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes
CVPR 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets
NeurIPS 2020
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
EMNLP 2020
Syntactic and Semantic-driven Learning for Open Information Extraction
EMNLP 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
ACL 2020
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks
ACL 2020
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
ACL 2020
Synthesizing Action Sequences for Modifying Model Decisions
AAAI 2020
Synthetic Examples Improve Generalization for Rare Classes
WACV 2020
System Identification with Time-Aware Neural Sequence Models
AAAI 2020
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack
EMNLP 2020
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
ACL 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
AAAI 2020
Table Fact Verification with Structure-Aware Transformer
EMNLP 2020
Tabouid: a Wikipedia-based word guessing game
ACL 2020
Tackling the Low-resource Challenge for Canonical Segmentation
EMNLP 2020
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
ACL 2020