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)
Crowdsourcing and Aggregating Nested Markable Annotations
ACL 2019
Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task
ACL 2019
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
NeurIPS 2019
CRSRL: Customer Routing System Using Reinforcement Learning
IJCAI 2019
CUED@WMT19:EWC&LMs
ACL 2019
CUNI Submission for Low-Resource Languages in WMT News 2019
ACL 2019
CUNI Systems for the Unsupervised News Translation Task in WMT 2019
ACL 2019
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG
ACL 2019
Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty
ICML 2019
Curls & Whey: Boosting Black-Box Adversarial Attacks
CVPR 2019
Curriculum-guided Hindsight Experience Replay
NeurIPS 2019
Curriculum Learning for Cumulative Return Maximization
IJCAI 2019
Customizable Architecture Search for Semantic Segmentation
CVPR 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
NeurIPS 2019
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions
AAAI 2019
CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition
Interspeech 2019
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
AAAI 2019
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
CVPR 2019
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
CVPR 2019
DAC: The Double Actor-Critic Architecture for Learning Options
NeurIPS 2019
DAL: Dual Adversarial Learning for Dialogue Generation
NAACL 2019
DANet: Divergent Activation for Weakly Supervised Object Localization
ICCV 2019
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank
AAAI 2019
Data Augmentation for Context-Sensitive Neural Lemmatization Using Inflection Tables and Raw Text
NAACL 2019
Data Augmentation for Spoken Language Understanding via Joint Variational Generation
AAAI 2019