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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'10
'15
'20
'25
Papers (including subtopics)
Practical Adversarial Multivalid Conformal Prediction
NeurIPS 2022
Practical Benefits of Feature Feedback Under Distribution Shift
EMNLP 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
CVPR 2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
NeurIPS 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
ACL 2022
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
EMNLP 2022
Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation
AAAI 2022
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution
NeurIPS 2022
Predicting Difficulty and Discrimination of Natural Language Questions
ACL 2022
Predicting Emotional Intensity in Political Debates via Non-verbal Signals
Interspeech 2022
Predicting label distribution improves non-intrusive speech quality estimation
Interspeech 2022
Predicting Moments of Mood Changes Overtime from Imbalanced Social Media Data
NAACL 2022
Predicting Prerequisite Relations for Unseen Concepts
EMNLP 2022
Predicting scalar diversity with context-driven uncertainty over alternatives
ACL 2022
Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure
ACL 2022
Prediction Difference Regularization against Perturbation for Neural Machine Translation
ACL 2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
IJCAI 2022
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks
AAAI 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes
AISTATS 2022
Preparing High School Teachers to Integrate AI Methods into STEM Classrooms
AAAI 2022
Prepositions Matter in Quantifier Scope Disambiguation
COLING 2022
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
NeurIPS 2022
Pre-trained Adversarial Perturbations
NeurIPS 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
NeurIPS 2022
Pre-trained language models evaluating themselves - A comparative study
ACL 2022