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)
Parallel sentences mining with transfer learning in an unsupervised setting
NAACL 2021
Parallel Text Alignment and Monolingual Parallel Corpus Creation from Philosophical Texts for Text Simplification
NAACL 2021
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks
ACL 2021
Parameter-Free Multi-Armed Bandit Algorithms with Hybrid Data-Dependent Regret Bounds
COLT 2021
Parameterless Transductive Feature Re-representation for Few-Shot Learning
ICML 2021
Parameter Selection: Why We Should Pay More Attention to It
ACL 2021
Parametric Contrastive Learning
ICCV 2021
Parametric Graph for Unimodal Ranking Bandit
ICML 2021
Paraphrase Generation: A Survey of the State of the Art
EMNLP 2021
Paraphrasing Compound Nominalizations
EMNLP 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
ICML 2021
Pareto Self-Supervised Training for Few-Shot Learning
CVPR 2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
NeurIPS 2021
ParsFEVER: a Dataset for Farsi Fact Extraction and Verification
ACL 2021
ParsTwiNER: A Corpus for Named Entity Recognition at Informal Persian
EMNLP 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
AAAI 2021
Partial-Label and Structure-constrained Deep Coupled Factorization Network
AAAI 2021
Partially Observed Exchangeable Modeling
ICML 2021
Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss
CVPR 2021
Partial Multi-Label Optimal Margin Distribution Machine
IJCAI 2021
Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning
ICCV 2021
Partial Person Re-Identification With Part-Part Correspondence Learning
CVPR 2021
Partial success in closing the gap between human and machine vision
NeurIPS 2021
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning
MIDL 2021
Partition-Guided GANs
CVPR 2021