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)
Towards Zero-Shot Frame Semantic Parsing for Domain Scaling
Interspeech 2017
Trading off Rewards and Errors in Multi-Armed Bandits
AISTATS 2017
Trainable Greedy Decoding for Neural Machine Translation
EMNLP 2017
Training Group Orthogonal Neural Networks with Privileged Information
IJCAI 2017
Training Object Class Detectors With Click Supervision
CVPR 2017
Transductive Non-linear Learning for Chinese Hypernym Prediction
ACL 2017
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation
IJCNLP 2017
Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages
Interspeech 2017
Transfer Learning Between Concepts for Human Behavior Modeling: An Application to Sincerity and Deception Prediction
Interspeech 2017
Transfer Learning in Multi-Armed Bandits: A Causal Approach
IJCAI 2017
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
CoRL 2017
Transferring Semantic Roles Using Translation and Syntactic Information
IJCNLP 2017
Translating Phrases in Neural Machine Translation
EMNLP 2017
Triangle Generative Adversarial Networks
NeurIPS 2017
Trimmed Density Ratio Estimation
NeurIPS 2017
Triple Generative Adversarial Nets
NeurIPS 2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
ACL 2017
TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets
IJCAI 2017
Tutorial: Making Better Use of the Crowd
ACL 2017
TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier
SemEval 2017
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
EMNLP 2017
Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets
SemEval 2017
Unbounded cache model for online language modeling with open vocabulary
NeurIPS 2017
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning
CoRL 2017
Understanding and Predicting Empathic Behavior in Counseling Therapy
ACL 2017