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)
Detecting and Repairing Deviated Outputs of Compressed Models
ACML 2023
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
NeurIPS 2023
Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models
EMNLP 2023
Detecting Backdoors in Pre-Trained Encoders
CVPR 2023
Detecting Contextomized Quotes in News Headlines by Contrastive Learning
EACL 2023
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark
ACL 2023
Detecting Everything in the Open World: Towards Universal Object Detection
CVPR 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
MLHC 2023
Detecting hidden confounding in observational data using multiple environments
NeurIPS 2023
Detecting intersectionality in NER models: A data-driven approach
EACL 2023
Detecting Lexical Borrowings from Dominant Languages in Multilingual Wordlists
EACL 2023
Detecting Multivariate Time Series Anomalies with Zero Known Label
AAAI 2023
Detecting Out-of-distribution Data through In-distribution Class Prior
ICML 2023
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
CVPR 2023
Detection of Emotional Hotspots in Meetings Using a Cross-Corpus Approach
Interspeech 2023
Detection of Laughter and Screaming Using the Attention and CTC Models
Interspeech 2023
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text
EMNLP 2023
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM
EMNLP 2023
DETR With Additional Global Aggregation for Cross-Domain Weakly Supervised Object Detection
CVPR 2023
Developing Speech Processing Pipelines for Police Accountability
Interspeech 2023
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
ICML 2023
DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation
NeurIPS 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play
CoRL 2023
D-Extract: Extracting Dimensional Attributes From Product Images
WACV 2023
DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings
ICCV 2023