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)
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
ICML 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
ACL 2018
Student-Teacher Learning for BLSTM Mask-based Speech Enhancement
Interspeech 2018
Study of Semi-supervised Approaches to Improving English-Mandarin Code-Switching Speech Recognition
Interspeech 2018
Style Obfuscation by Invariance
COLING 2018
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
ICML 2018
Style Transfer Through Back-Translation
ACL 2018
Subgoal Discovery for Hierarchical Dialogue Policy Learning
EMNLP 2018
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings
IJCAI 2018
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised
EMNLP 2018
Supervised and Unsupervised Minimalist Quality Estimators: Vicomtech’s Participation in the WMT 2018 Quality Estimation Task
EMNLP 2018
Supervised and Unsupervised Transfer Learning for Question Answering
NAACL 2018
Supervised I-vector Modeling - Theory and Applications
Interspeech 2018
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data
EMNLP 2018
Supervising Unsupervised Learning
NeurIPS 2018
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
CoRL 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
EMNLP 2018
Symmetric Variational Autoencoder and Connections to Adversarial Learning
AISTATS 2018
Syntactic Scaffolds for Semantic Structures
EMNLP 2018
Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction
EMNLP 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
ICML 2018
Synthesizing Robust Adversarial Examples
ICML 2018
Synthetic Data Made to Order: The Case of Parsing
EMNLP 2018
Tackling Adversarial Examples in QA via Answer Sentence Selection
ACL 2018
Tackling the Story Ending Biases in The Story Cloze Test
ACL 2018