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)
Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification
ACL 2021
Using Hindsight to Anchor Past Knowledge in Continual Learning
AAAI 2021
Using Large Self-Supervised Models for Low-Resource Speech Recognition
Interspeech 2021
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems
ACL 2021
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
EMNLP 2021
Using Pause Information for More Accurate Entity Recognition
EMNLP 2021
Using Question Answering Rewards to Improve Abstractive Summarization
EMNLP 2021
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users
AAAI 2021
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias
CVPR 2021
Using Unsupervised Learning for Data-driven Procurement Demand Aggregation
AAAI 2021
Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions
EACL 2021
Utilizing Every Image Object for Semi-Supervised Phrase Grounding
WACV 2021
Utilizing Self-Supervised Representations for MOS Prediction
Interspeech 2021
UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models
SemEval 2021
UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps
ICCV 2021
UWSpeech: Speech to Speech Translation for Unwritten Languages
AAAI 2021
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP
ACL 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning
CVPR 2021
Validating Label Consistency in NER Data Annotation
EMNLP 2021
Variance Penalized On-Policy and Off-Policy Actor-Critic
AAAI 2021
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
ICCV 2021
Variational Autoencoder with Learned Latent Structure
AISTATS 2021
Variational Auto-Regressive Gaussian Processes for Continual Learning
ICML 2021
Variational Continual Bayesian Meta-Learning
NeurIPS 2021
Variational Data Assimilation with a Learned Inverse Observation Operator
ICML 2021