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
'5
'10
'15
'20
'25
Papers (including subtopics)
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract)
AAAI 2020
This is a BERT. Now there are several of them. Can they generalize to novel words?
EMNLP 2020
“This is Houston. Say again, please”. The Behavox System for the Apollo-11 Fearless Steps Challenge (Phase II)
Interspeech 2020
Thompson Sampling for Linearly Constrained Bandits
AISTATS 2020
Thompson Sampling for Unsupervised Sequential Selection
ACML 2020
Thompson Sampling via Local Uncertainty
ICML 2020
Through Fog High-Resolution Imaging Using Millimeter Wave Radar
CVPR 2020
THUEE System for NIST SRE19 CTS Challenge
Interspeech 2020
ThunderGBM: Fast GBDTs and Random Forests on GPUs
JMLR 2020
TICO-19: the Translation Initiative for COvid-19
EMNLP 2020
Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits
NeurIPS 2020
Tight Lower Bounds for Combinatorial Multi-Armed Bandits
COLT 2020
Time-Consistent Self-Supervision for Semi-Supervised Learning
ICML 2020
Time Flies: Animating a Still Image With Time-Lapse Video As Reference
CVPR 2020
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network
NeurIPS 2020
TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020
AACL 2020
TMUOU Submission for WMT20 Quality Estimation Shared Task
EMNLP 2020
TNT: Text Normalization based Pre-training of Transformers for Content Moderation
EMNLP 2020
To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer
AAAI 2020
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
EMNLP 2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
EMNLP 2020
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction
COLING 2020
Token Drop mechanism for Neural Machine Translation
COLING 2020
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
CoRL 2020
Tone Learning in Low-Resource Bilingual TTS
Interspeech 2020