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)
Searching for a Higher Power in the Human Evaluation of MT
EMNLP 2022
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition
NeurIPS 2022
Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding
MLHC 2022
Searching for fingerspelled content in American Sign Language
ACL 2022
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data
IJCAI 2022
SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification
AAAI 2022
Section-Aware Commonsense Knowledge-Grounded Dialogue Generation with Pre-trained Language Model
COLING 2022
Section Classification in Clinical Notes with Multi-task Transformers
EMNLP 2022
Seeded Hierarchical Clustering for Expert-Crafted Taxonomies
EMNLP 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds
NAACL 2022
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition
COLING 2022
SEEG: Semantic Energized Co-Speech Gesture Generation
CVPR 2022
Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering
NAACL 2022
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
ACL 2022
SEER: Unsupervised and sample-efficient environment specialization of image descriptors
RSS 2022
SeeTek: Very Large-Scale Open-Set Logo Recognition With Text-Aware Metric Learning
WACV 2022
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
WACV 2022
Segmentation-Consistent Probabilistic Lesion Counting
MIDL 2022
Segmenting Numerical Substitution Ciphers
EMNLP 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
IJCAI 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
NeurIPS 2022
Selecting Optimal Context Sentences for Event-Event Relation Extraction
AAAI 2022
Selecting Stickers in Open-Domain Dialogue through Multitask Learning
ACL 2022
Selective Ensembles for Consistent Predictions
ICLR 2022
Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
JMLR 2022