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)
Improving RNN-T for Domain Scaling Using Semi-Supervised Training with Neural TTS
Interspeech 2021
Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks
ICCV 2021
Improving Robustness using Generated Data
NeurIPS 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
NeurIPS 2021
Improving Sequential Recommendation Consistency with Self-Supervised Imitation
IJCAI 2021
Improving Similar Language Translation With Transfer Learning
EMNLP 2021
Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation
EMNLP 2021
Improving Streaming Transformer Based ASR Under a Framework of Self-Supervised Learning
Interspeech 2021
Improving Text Generation with Dynamic Masking and Recovering
IJCAI 2021
Improving the Efficiency and Effectiveness for BERT-based Entity Resolution
AAAI 2021
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation
NAACL 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions
AAAI 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract)
AAAI 2021
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation
EMNLP 2021
Improving the Transferability of Adversarial Samples With Adversarial Transformations
CVPR 2021
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models
CVPR 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
NeurIPS 2021
Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference
EMNLP 2021
Improving Unsupervised Image Clustering With Robust Learning
CVPR 2021
Improving Unsupervised Question Answering via Summarization-Informed Question Generation
EMNLP 2021
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning
MIDL 2021
Improving Weakly Supervised Sound Event Detection with Self-Supervised Auxiliary Tasks
Interspeech 2021
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
CVPR 2021
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph
NAACL 2021
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
EMNLP 2021