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)
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
CoRL 2020
TailorGAN: Making User-Defined Fashion Designs
WACV 2020
Taking a hint: How to leverage loss predictors in contextual bandits?
COLT 2020
TaPas: Weakly Supervised Table Parsing via Pre-training
ACL 2020
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network
AAAI 2020
Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis
AAAI 2020
Targeted Adversarial Perturbations for Monocular Depth Prediction
NeurIPS 2020
Targeted Content Feedback in Spoken Language Learning and Assessment
Interspeech 2020
Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes
JMLR 2020
Target Inference in Argument Conclusion Generation
ACL 2020
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
CVPR 2020
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation
IJCAI 2020
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
ICML 2020
Task-Relevant Adversarial Imitation Learning
CoRL 2020
Task-Robust Model-Agnostic Meta-Learning
NeurIPS 2020
Task Understanding from Confusing Multi-task Data
ICML 2020
TA-Student VQA: Multi-Agents Training by Self-Questioning
CVPR 2020
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
EMNLP 2020
Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer
ACL 2020
Taxy.io@FinTOC-2020: Multilingual Document Structure Extraction using Transfer Learning
COLING 2020
TBT: Targeted Neural Network Attack With Bit Trojan
CVPR 2020
Tchebycheff Procedure for Multi-task Text Classification
ACL 2020
Teaching a GAN What Not to Learn
NeurIPS 2020
Teaching Machine Comprehension with Compositional Explanations
EMNLP 2020
Teaching with Limited Information on the Learner’s Behaviour
ICML 2020