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)
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing
COLING 2020
NAAGN: Noise-Aware Attention-Gated Network for Speech Enhancement
Interspeech 2020
Named Entity Recognition in Multi-level Contexts
AACL 2020
Named Entity Recognition Only from Word Embeddings
EMNLP 2020
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
ACL 2020
Native-like Expression Identification by Contrasting Native and Proficient Second Language Speakers
COLING 2020
NAT: Noise-Aware Training for Robust Neural Sequence Labeling
ACL 2020
Natural Language Processing for Achieving Sustainable Development: the Case of Neural Labelling to Enhance Community Profiling
EMNLP 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
EMNLP 2020
Near-Optimal Comparison Based Clustering
NeurIPS 2020
Near-optimal Individualized Treatment Recommendations
JMLR 2020
Negative Sampling in Semi-Supervised learning
ICML 2020
Negative Training for Neural Dialogue Response Generation
ACL 2020
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
AAAI 2020
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
AAAI 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
AISTATS 2020
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
ICLR 2020
Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance
AAAI 2020
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
ICLR 2020
Network Schema Preserving Heterogeneous Information Network Embedding
IJCAI 2020
NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative
EMNLP 2020
Neural Abstractive Multi-Document Summarization: Hierarchical or Flat Structure?
AACL 2020
Neural Architecture Generator Optimization
NeurIPS 2020
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search
AAAI 2020
Neural Belief Reasoner
IJCAI 2020