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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'20
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Papers (including subtopics)
Like a Baby: Visually Situated Neural Language Acquisition
ACL 2019
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
NeurIPS 2019
Limiting Extrapolation in Linear Approximate Value Iteration
NeurIPS 2019
Limits of Private Learning with Access to Public Data
NeurIPS 2019
Linear Stochastic Bandits Under Safety Constraints
NeurIPS 2019
Lingua Custodia at WMT’19: Attempts to Control Terminology
ACL 2019
Linguistic Evaluation of German-English Machine Translation Using a Test Suite
ACL 2019
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
EMNLP 2019
Linking artificial and human neural representations of language
EMNLP 2019
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning
COLT 2019
Lipschitz Generative Adversarial Nets
ICML 2019
List-decodable Linear Regression
NeurIPS 2019
Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR
Interspeech 2019
Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning
UAI 2019
LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs
ACL 2019
Live Face De-Identification in Video
ICCV 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning
NeurIPS 2019
Local Aggregation for Unsupervised Learning of Visual Embeddings
ICCV 2019
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding
NAACL 2019
Localizing Natural Language in Videos
AAAI 2019
Localizing Unseen Activities in Video via Image Query
IJCAI 2019
Local Koopman Operators for Data-Driven Control of Robotic Systems
RSS 2019
Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control
CoRL 2019
Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection
CVPR 2019
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks
CVPR 2019