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
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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 ILSP/ARC submission to the WMT 2018 Parallel Corpus Filtering Shared Task
EMNLP 2018
The Importance of Calibration for Estimating Proportions from Annotations
NAACL 2018
The INaturalist Species Classification and Detection Dataset
CVPR 2018
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation
COLING 2018
The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats
Interspeech 2018
The LMU Munich Unsupervised Machine Translation Systems
EMNLP 2018
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
CoRL 2018
The Mechanics of n-Player Differentiable Games
ICML 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning
ICML 2018
The MLLP-UPV German-English Machine Translation System for WMT18
EMNLP 2018
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning
ICML 2018
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
ICML 2018
Theoretical guarantees for EM under misspecified Gaussian mixture models
NeurIPS 2018
The Other Side of the Coin: Unsupervised Disambiguation of Potentially Idiomatic Expressions by Contrasting Senses
COLING 2018
The Perception-Distortion Tradeoff
CVPR 2018
The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning
NeurIPS 2018
The Power of Ensembles for Active Learning in Image Classification
CVPR 2018
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
ICML 2018
The price of debiasing automatic metrics in natural language evalaution
ACL 2018
Thermometer Encoding: One Hot Way To Resist Adversarial Examples
ICLR 2018
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
ICLR 2018
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018
EMNLP 2018
The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models
NeurIPS 2018
The Search Problem in Mixture Models
JMLR 2018
The Sparse Manifold Transform
NeurIPS 2018