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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'20
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Papers (including subtopics)
Surprise Minimizing Multi-Agent Learning with Energy-based Models
NeurIPS 2022
Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns
ICLR 2022
SVTS: Scalable Video-to-Speech Synthesis
Interspeech 2022
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification
ICLR 2022
Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection
CVPR 2022
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics
AAAI 2022
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness
NeurIPS 2022
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks
EMNLP 2022
Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction
EMNLP 2022
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
EMNLP 2022
Syntactic and Semantic Uniformity for Semantic Parsing and Task-Oriented Dialogue Systems
EMNLP 2022
Syntactic Multi-view Learning for Open Information Extraction
EMNLP 2022
Syntax-guided Contrastive Learning for Pre-trained Language Model
ACL 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control
CoRL 2022
Synthetic Disinformation Attacks on Automated Fact Verification Systems
AAAI 2022
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
NeurIPS 2022
Systematic Analysis of Image Schemas in Natural Language through Explainable Multilingual Neural Language Processing
COLING 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
ACL 2022
TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition
AAAI 2022
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval
ACL 2022
Table-based Fact Verification with Self-adaptive Mixture of Experts
ACL 2022
Table-based Fact Verification with Self-labeled Keypoint Alignment
COLING 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
NeurIPS 2022
TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search
EMNLP 2022
Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22
EMNLP 2022