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)
Parametric Visual Program Induction with Function Modularization
ICML 2022
Paraphrase Generation as Unsupervised Machine Translation
COLING 2022
Paraphrasing Is All You Need for Novel Object Captioning
NeurIPS 2022
ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation
COLING 2022
Pareto Optimal Model Selection in Linear Bandits
AISTATS 2022
Pareto Policy Adaptation
ICLR 2022
Pareto Policy Pool for Model-based Offline Reinforcement Learning
ICLR 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
NeurIPS 2022
PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks
COLING 2022
Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification
CVPR 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
ICML 2022
Partial Counterfactual Identification from Observational and Experimental Data
ICML 2022
Partial-input baselines show that NLI models can ignore context, but they don’t.
NAACL 2022
Partial Label Learning via Label Influence Function
ICML 2022
Partial likelihood Thompson sampling
UAI 2022
Partially Humanizing Weak Supervision: Towards a Better Low Resource Pipeline for Spoken Language Understanding
EMNLP 2022
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings
AAAI 2022
Particle-based Adversarial Local Distribution Regularization
AISTATS 2022
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
EMNLP 2022
Partner Personas Generation for Dialogue Response Generation
NAACL 2022
Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models
ACL 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
ICLR 2022
Patching open-vocabulary models by interpolating weights
NeurIPS 2022
Patch-Level Representation Learning for Self-Supervised Vision Transformers
CVPR 2022
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
CVPR 2022