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)
Time-Equivariant Contrastive Video Representation Learning
ICCV 2021
Time-Independent Planning for Multiple Moving Agents
AAAI 2021
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport
EMNLP 2021
Time Series Data Augmentation for Deep Learning: A Survey
IJCAI 2021
Time-series Generation by Contrastive Imitation
NeurIPS 2021
Time-Series Representation Learning via Temporal and Contextual Contrasting
IJCAI 2021
TIME: Text and Image Mutual-Translation Adversarial Networks
AAAI 2021
Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff
AAAI 2021
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning
ICCV 2021
TMU NMT System with Japanese BART for the Patent task of WAT 2021
ACL 2021
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
NeurIPS 2021
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation
NeurIPS 2021
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
NeurIPS 2021
To be Robust or to be Fair: Towards Fairness in Adversarial Training
ICML 2021
To Block or not to Block: Experiments with Machine Learning for News Comment Moderation
EACL 2021
Token-Aware Virtual Adversarial Training in Natural Language Understanding
AAAI 2021
Token-Level Supervised Contrastive Learning for Punctuation Restoration
Interspeech 2021
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
ICLR 2021
Tool for Automated Tax Coding of Invoices
AAAI 2021
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
EMNLP 2021
Topic-Aware Multi-turn Dialogue Modeling
AAAI 2021
Topic-Guided Abstractive Multi-Document Summarization
EMNLP 2021
Topic Modeling for Maternal Health Using Reddit
EACL 2021
TopicNet: Semantic Graph-Guided Topic Discovery
NeurIPS 2021
Topic Scene Graph Generation by Attention Distillation From Caption
ICCV 2021