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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Papers (including subtopics)
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
AAAI 2022
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning
ACL 2022
Path-Specific Objectives for Safer Agent Incentives
AAAI 2022
PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms
COLING 2022
PAUQ: Text-to-SQL in Russian
EMNLP 2022
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks
NeurIPS 2022
PCBERT: Parent and Child BERT for Chinese Few-shot NER
COLING 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
EMNLP 2022
PCL: Proxy-Based Contrastive Learning for Domain Generalization
CVPR 2022
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text
EMNLP 2022
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
ICLR 2022
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
NeurIPS 2022
Peer Prediction for Learning Agents
NeurIPS 2022
Penalizing Divergence: Multi-Parallel Translation for Low-Resource Languages of North America
COLING 2022
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding
EMNLP 2022
PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation
COLING 2022
Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition
AAAI 2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
NeurIPS 2022
Perceptual Learned Video Compression with Recurrent Conditional GAN
IJCAI 2022
Perceptual Quality Assessment of Omnidirectional Images
AAAI 2022
Perceptual Quality Dimensions of Machine-Generated Text with a Focus on Machine Translation
ACL 2022
Per-Clip Video Object Segmentation
CVPR 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
ICML 2022
Perfect Sampling from Pairwise Comparisons
NeurIPS 2022
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search
CVPR 2022