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)
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
ICCV 2019
InverseRenderNet: Learning Single Image Inverse Rendering
CVPR 2019
Inverting Learned Dynamics Models for Aggressive Multirotor Control
RSS 2019
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
NAACL 2019
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian
ACL 2019
Investigating the effect of novel classes in semi-supervised learning
ACML 2019
Investigating the Robustness of Sequence-to-Sequence Text-to-Speech Models to Imperfectly-Transcribed Training Data
Interspeech 2019
Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion
Interspeech 2019
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
CVPR 2019
IRLAS: Inverse Reinforcement Learning for Architecture Search
CVPR 2019
Is advance knowledge of flow sizes a plausible assumption?
NSDI 2019
Is artificial data useful for biomedical Natural Language Processing algorithms?
ACL 2019
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
NeurIPS 2019
Issue Framing in Online Discussion Fora
NAACL 2019
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts
EMNLP 2019
Is Word Segmentation Child’s Play in All Languages?
ACL 2019
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
ACL 2019
Iterated Learning in Dynamic Social Networks
JMLR 2019
Iterative Classroom Teaching
AAAI 2019
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology
MIDL 2019
Iterative Least Trimmed Squares for Mixed Linear Regression
NeurIPS 2019
Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision
CVPR 2019
Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
CVPR 2019
Iterative Search for Weakly Supervised Semantic Parsing
NAACL 2019
Jeff Da at COIN - Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge
EMNLP 2019