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)
Neural Blind Deconvolution Using Deep Priors
CVPR 2020
Neural Contextual Bandits with UCB-based Exploration
ICML 2020
Neural Conversational QA: Learning to Reason vs Exploiting Patterns
EMNLP 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
CVPR 2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence
ACL 2020
Neural-DINF: A Neural Network based Framework for Measuring Document Influence
ACL 2020
Neural Entity Summarization with Joint Encoding and Weak Supervision
IJCAI 2020
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
EMNLP 2020
Neural Gibbs Sampling for Joint Event Argument Extraction
AACL 2020
Neural Graph Embedding for Neural Architecture Search
AAAI 2020
Neural Inheritance Relation Guided One-Shot Layer Assignment Search
AAAI 2020
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara
AACL 2020
Neural Machine Translation for Similar Languages: The Case of Indo-Aryan Languages
EMNLP 2020
Neural Machine Translation for translating into Croatian and Serbian
COLING 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
EMNLP 2020
Neural Methods for Point-wise Dependency Estimation
NeurIPS 2020
Neural Multi-task Text Normalization and Sanitization with Pointer-Generator
ACL 2020
Neural Network Control Policy Verification With Persistent Adversarial Perturbation
ICML 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model
CVPR 2020
Neural Outlier Rejection for Self-Supervised Keypoint Learning
ICLR 2020
Neural Question Generation with Answer Pivot
AAAI 2020
Neural Reranking for Dependency Parsing: An Evaluation
ACL 2020
Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
AAAI 2020
Neural Snowball for Few-Shot Relation Learning
AAAI 2020
Neural Syntactic Preordering for Controlled Paraphrase Generation
ACL 2020