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
'25
Papers (including subtopics)
Private Set Generation with Discriminative Information
NeurIPS 2022
Private Streaming SCO in ℓ_p geometry with Applications in High Dimensional Online Decision Making
ICML 2022
Probabilistically Robust Learning: Balancing Average and Worst-case Performance
ICML 2022
Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data
NeurIPS 2022
Probabilistic Representations for Video Contrastive Learning
CVPR 2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences
CVPR 2022
Probing BERT’s priors with serial reproduction chains
ACL 2022
Probing Factually Grounded Content Transfer with Factual Ablation
ACL 2022
Probing Multilingual Cognate Prediction Models
ACL 2022
Probing phoneme, language and speaker information in unsupervised speech representations
Interspeech 2022
Probing Pretrained Models of Source Codes
EMNLP 2022
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
CVPR 2022
Probing Script Knowledge from Pre-Trained Models
EMNLP 2022
Probing Simile Knowledge from Pre-trained Language Models
ACL 2022
Probing speech emotion recognition transformers for linguistic knowledge
Interspeech 2022
Probing the Role of Positional Information in Vision-Language Models
NAACL 2022
Probing via Prompting
NAACL 2022
Procedural generalization by planning with self-supervised world models
ICLR 2022
Procedural Image Programs for Representation Learning
NeurIPS 2022
PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks
EMNLP 2022
Product Titles-to-Attributes As a Text-to-Text Task
ACL 2022
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ICML 2022
Programmable Annotation with Diversed Heuristics and Data Denoising
COLING 2022
Programmatic Reward Design by Example
AAAI 2022
Program Transfer for Answering Complex Questions over Knowledge Bases
ACL 2022