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 Sequence-to-grid Module for Learning Symbolic Rules
AAAI 2021
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation
CVPR 2021
Neural-Symbolic Commonsense Reasoner with Relation Predictors
ACL 2021
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks
ACL 2021
Neural Tangent Generalization Attacks
ICML 2021
Neural Text Denormalization for Speech Transcripts
Interspeech 2021
Neural Topic Model via Optimal Transport
ICLR 2021
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
ICML 2021
Neural Trees for Learning on Graphs
NeurIPS 2021
Neural Utility Functions
AAAI 2021
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
NeurIPS 2021
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
ACL 2021
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
NAACL 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
CVPR 2021
Neuro-Symbolic Approaches for Text-Based Policy Learning
EMNLP 2021
NGC: A Unified Framework for Learning With Open-World Noisy Data
ICCV 2021
N-gram and Neural Models for Uralic Language Identification: NRC at VarDial 2021
EACL 2021
N-ImageNet: Towards Robust, Fine-Grained Object Recognition With Event Cameras
ICCV 2021
NLPIITR at SemEval-2021 Task 6: RoBERTa Model with Data Augmentation for Persuasion Techniques Detection
SemEval 2021
NLQuAD: A Non-Factoid Long Question Answering Data Set
EACL 2021
N-LTP: An Open-source Neural Language Technology Platform for Chinese
EMNLP 2021
NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation
EMNLP 2021
Node-wise Localization of Graph Neural Networks
IJCAI 2021
Noise2Grad: Extract Image Noise to Denoise
IJCAI 2021
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
NeurIPS 2021