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)
Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
ACL 2020
Oxymorons: a preliminary corpus investigation
ACL 2020
PAC-Bayesian Contrastive Unsupervised Representation Learning
UAI 2020
PackIt: A Virtual Environment for Geometric Planning
ICML 2020
PAC learning with stable and private predictions
COLT 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
CVPR 2020
Parallel Corpus Filtering via Pre-trained Language Models
ACL 2020
Parallel resources for Tunisian Arabic Dialect Translation
COLING 2020
Parameterised Resource-Bounded ATL
AAAI 2020
Parameterized Algorithms for Finding a Collective Set of Items
AAAI 2020
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning
AAAI 2020
Parameterized Rate-Distortion Stochastic Encoder
ICML 2020
Parameter Optimization for Learning-based Control of Control-Affine Systems
L4DC 2020
Parametric Gaussian Process Regressors
ICML 2020
Parametric Instance Classification for Unsupervised Visual Feature learning
NeurIPS 2020
Paraphrase Augmented Task-Oriented Dialog Generation
ACL 2020
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity
EMNLP 2020
Paraphrase Generation via Adversarial Penalizations
EMNLP 2020
Parsing as Pretraining
AAAI 2020
Parsing in the absence of related languages: Evaluating low-resource dependency parsers on Tagalog
COLING 2020
Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank
EMNLP 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise
NeurIPS 2020
Partial Label Learning with Batch Label Correction
AAAI 2020
Partially-Aligned Data-to-Text Generation with Distant Supervision
EMNLP 2020
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies
ACML 2020