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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'20
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Papers (including subtopics)
Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation
EMNLP 2021
Content-based Models of Quotation
EACL 2021
Content-based Stance Classification of Tweets about the 2020 Italian Constitutional Referendum
NAACL 2021
Context-Aware Online Collective Inference for Templated Graphical Models
ICML 2021
Context-Aware Scene Graph Generation With Seq2Seq Transformers
ICCV 2021
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
ICCV 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
AAAI 2021
Context-Specific Likelihood Weighting
AISTATS 2021
Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract)
AAAI 2021
Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis
NAACL 2021
Contextualized Embeddings Encode Monolingual and Cross-lingual Knowledge of Idiomaticity
ACL 2021
Contextualized Perturbation for Textual Adversarial Attack
NAACL 2021
Contextualized Rewriting for Text Summarization
AAAI 2021
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
NeurIPS 2021
Contextual Semi-Supervised Learning: An Approach to Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems
Interspeech 2021
Contextual Transformation Networks for Online Continual Learning
ICLR 2021
Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning
CVPR 2021
Continual Auxiliary Task Learning
NeurIPS 2021
Continual Few-Shot Learning for Text Classification
EMNLP 2021
Continual General Chunking Problem and SyncMap
AAAI 2021
Continual Learning by Using Information of Each Class Holistically
AAAI 2021
Continual Learning for Fake Audio Detection
Interspeech 2021
Continual Learning for Image-Based Camera Localization
ICCV 2021
Continual Learning for Named Entity Recognition
AAAI 2021
Continual Learning for Neural Machine Translation
NAACL 2021