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 Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
NAACL 2021
Improving Few-Shot Learning Using Composite Rotation Based Auxiliary Task
WACV 2021
Improving Formality Style Transfer with Context-Aware Rule Injection
ACL 2021
Improving Generalization in Meta-learning via Task Augmentation
ICML 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
NeurIPS 2021
Improving Generative Moment Matching Networks with Distribution Partition
AAAI 2021
Improving Gradient Regularization using Complex-Valued Neural Networks
ICML 2021
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
EMNLP 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression
AISTATS 2021
Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract)
AAAI 2021
Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning
EMNLP 2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
AAAI 2021
Improving Multi-agent Coordination by Learning to Estimate Contention
IJCAI 2021
Improving Multilingual Neural Machine Translation with Auxiliary Source Languages
EMNLP 2021
Improving Multimodal fusion via Mutual Dependency Maximisation
EMNLP 2021
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
ACL 2021
Improving Neural RST Parsing Model with Silver Agreement Subtrees
NAACL 2021
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection
WACV 2021
Improving Predictors via Combination Across Diverse Task Categories
ICML 2021
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
ACL 2021
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
NAACL 2021
Improving Punctuation Restoration for Speech Transcripts via External Data
EMNLP 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
EMNLP 2021
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)
JMLR 2021
Improving RNN-T ASR Accuracy Using Context Audio
Interspeech 2021