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)
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
NAACL 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
EMNLP 2022
Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature
COLING 2022
TA-GATES: An Encoding Scheme for Neural Network Architectures
NeurIPS 2022
Tailoring Visual Object Representations to Human Requirements: A Case Study with a Recycling Robot
CoRL 2022
Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation
WACV 2022
TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training
NeurIPS 2022
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation
COLING 2022
TamilATIS: Dataset for Task-Oriented Dialog in Tamil
ACL 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
ICML 2022
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription
Interspeech 2022
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
NeurIPS 2022
Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection
CVPR 2022
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
CVPR 2022
Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection
COLING 2022
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
CVPR 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack
EMNLP 2022
TaSIL: Taylor Series Imitation Learning
NeurIPS 2022
Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data
CVPR 2022
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
CVPR 2022
Task-Agnostic Graph Explanations
NeurIPS 2022
Task Compass: Scaling Multi-task Pre-training with Task Prefix
EMNLP 2022
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing
AAAI 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
NeurIPS 2022
Task-guided Disentangled Tuning for Pretrained Language Models
ACL 2022