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)
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CoRL 2017
The Power of Random Counterexamples
ALT 2017
The Price of Differential Privacy for Online Learning
ICML 2017
The Promise of Premise: Harnessing Question Premises in Visual Question Answering
EMNLP 2017
The Scaling Limit of High-Dimensional Online Independent Component Analysis
NeurIPS 2017
Thompson Sampling for Linear-Quadratic Control Problems
AISTATS 2017
Thresholding Bandits with Augmented UCB
IJCAI 2017
Thresholding Based Outlier Robust PCA
COLT 2017
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
NeurIPS 2017
Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality
JMLR 2017
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis
JMLR 2017
Topically Driven Neural Language Model
ACL 2017
Topic Identification for Speech Without ASR
Interspeech 2017
Topic Signatures in Political Campaign Speeches
EMNLP 2017
Toward Multimodal Image-to-Image Translation
NeurIPS 2017
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
NeurIPS 2017
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
ACL 2017
Towards a Universal Sentiment Classifier in Multiple languages
EMNLP 2017
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access
ACL 2017
Towards Intelligent Crowdsourcing for Audio Data Annotation: Integrating Active Learning in the Real World
Interspeech 2017
Towards Neural Machine Translation with Partially Aligned Corpora
IJCNLP 2017
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning
CoRL 2017
Towards Speech Emotion Recognition “in the Wild” Using Aggregated Corpora and Deep Multi-Task Learning
Interspeech 2017
Towards speech-to-text translation without speech recognition
EACL 2017
Towards String-To-Tree Neural Machine Translation
ACL 2017