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)
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation
EMNLP 2017
Identifying Unreliable and Adversarial Workers in Crowdsourced Labeling Tasks
JMLR 2017
Identify the Nash Equilibrium in Static Games with Random Payoffs
ICML 2017
Idiom Savant at Semeval-2017 Task 7: Detection and Interpretation of English Puns
SemEval 2017
If You Can’t Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking
EACL 2017
IIIT-H at IJCNLP-2017 Task 4: Customer Feedback Analysis using Machine Learning and Neural Network Approaches
IJCNLP 2017
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation
SemEval 2017
Image Pivoting for Learning Multilingual Multimodal Representations
EMNLP 2017
Imagination Improves Multimodal Translation
IJCNLP 2017
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
JMLR 2017
Imitation learning for structured prediction in natural language processing
EACL 2017
Implicit Syntactic Features for Target-dependent Sentiment Analysis
IJCNLP 2017
Importance sampling for unbiased on-demand evaluation of knowledge base population
EMNLP 2017
Improved Dynamic Regret for Non-degenerate Functions
NeurIPS 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
ICML 2017
Improving Chinese Semantic Role Labeling using High-quality Surface and Deep Case Frames
EACL 2017
Improving Deliverable Speech-to-Text Systems with Multilingual Knowledge Transfer
Interspeech 2017
Improving Evaluation of Document-level Machine Translation Quality Estimation
EACL 2017
Improving Facial Attribute Prediction Using Semantic Segmentation
CVPR 2017
Improving Learning-from-Crowds through Expert Validation
IJCAI 2017
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
NeurIPS 2017
Improving Robustness of Speaker Recognition to New Conditions Using Unlabeled Data
Interspeech 2017
Improving ROUGE for Timeline Summarization
EACL 2017
Improving the Expected Improvement Algorithm
NeurIPS 2017
IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks
CoNLL 2017