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
'5
'10
'15
'20
'25
Papers (including subtopics)
Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion
IJCAI 2022
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge
NeurIPS 2022
Stanceosaurus: Classifying Stance Towards Multicultural Misinformation
EMNLP 2022
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
EMNLP 2022
Star Temporal Classification: Sequence Modeling with Partially Labeled Data
NeurIPS 2022
Starting from “Zero”: An Incremental Zero-shot Learning Approach for Assessing Peer Feedback Comments
NAACL 2022
State-Aware Adversarial Training for Utterance-Level Dialogue Generation
EMNLP 2022
State Dependent Performative Prediction with Stochastic Approximation
AISTATS 2022
State Deviation Correction for Offline Reinforcement Learning
AAAI 2022
State & Trait Measurement from Nonverbal Vocalizations: A Multi-Task Joint Learning Approach
Interspeech 2022
Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection
AAAI 2022
Stationary Diffusion State Neural Estimation for Multiview Clustering
AAAI 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
NeurIPS 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
AAAI 2022
Stein Latent Optimization for Generative Adversarial Networks
ICLR 2022
STEM: Unsupervised STructural EMbedding for Stance Detection
AAAI 2022
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
AAAI 2022
Stereoscopic Universal Perturbations Across Different Architectures and Datasets
CVPR 2022
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing
EMNLP 2022
ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation
CVPR 2022
STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers
NeurIPS 2022
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
IJCAI 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
ICML 2022
Stochastic Goal Recognition Design Problems with Suboptimal Agents
AAAI 2022
Stochastic Multiple Target Sampling Gradient Descent
NeurIPS 2022