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 Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
EMNLP 2019
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
NeurIPS 2019
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers
NeurIPS 2019
The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval
EMNLP 2019
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure
AAAI 2019
The DKU-SMIIP System for NIST 2018 Speaker Recognition Evaluation
Interspeech 2019
The Effects of Time Expansion on English as a Second Language Individuals
Interspeech 2019
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization
EMNLP 2019
The FEVER2.0 Shared Task
EMNLP 2019
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
COLT 2019
The IIIT-H Gujarati-English Machine Translation System for WMT19
ACL 2019
The Implicit Metropolis-Hastings Algorithm
NeurIPS 2019
The information-theoretic value of unlabeled data in semi-supervised learning
ICML 2019
The Kelly Growth Optimal Portfolio with Ensemble Learning
AAAI 2019
The Label Complexity of Active Learning from Observational Data
NeurIPS 2019
The Limitations of Adversarial Training and the Blind-Spot Attack
ICLR 2019
The LMU Munich Unsupervised Machine Translation System for WMT19
ACL 2019
The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information
ICCV 2019
The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation
ACL 2019
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers
ACL 2019
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
ICML 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach
NeurIPS 2019
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning
AISTATS 2019
Theoretical evidence for adversarial robustness through randomization
NeurIPS 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions
COLT 2019