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
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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)
Transformer Based Multi-Source Domain Adaptation
EMNLP 2020
Transformer Hawkes Process
ICML 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
ICML 2020
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering
ACL 2020
Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge
Interspeech 2020
Translation-Based Matching Adversarial Network for Cross-Lingual Natural Language Inference
AAAI 2020
Translation Quality Estimation by Jointly Learning to Score and Rank
EMNLP 2020
Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings
Interspeech 2020
Transliteration for Cross-Lingual Morphological Inflection
ACL 2020
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
CVPR 2020
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
CVPR 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
AAAI 2020
TransQuest at WMT2020: Sentence-Level Direct Assessment
EMNLP 2020
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
ACL 2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
IJCAI 2020
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
AAAI 2020
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions
AISTATS 2020
Truncated Linear Regression in High Dimensions
NeurIPS 2020
Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet
COLING 2020
Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits
COLT 2020
TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles
SemEval 2020
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model
CVPR 2020
TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings
SemEval 2020
Tuning Causal Discovery Algorithms
PGM 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
ICML 2020