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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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)
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog
AAAI 2020
LIMIT-BERT : Linguistics Informed Multi-Task BERT
EMNLP 2020
LIMSI @ WMT 2020
EMNLP 2020
Linear Antisymmetric Recurrent Neural Networks
L4DC 2020
Linear Bandits with Feature Feedback
AAAI 2020
Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation
EMNLP 2020
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
EMNLP 2020
Lin: Unsupervised Extraction of Tasks from Textual Communication
COLING 2020
Lipschitz and Comparator-Norm Adaptivity in Online Learning
COLT 2020
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing
NeurIPS 2020
Lipschitz-Certifiable Training with a Tight Outer Bound
NeurIPS 2020
List-Decodable Mean Estimation via Iterative Multi-Filtering
NeurIPS 2020
List Decodable Subspace Recovery
COLT 2020
Listening to Sounds of Silence for Speech Denoising
NeurIPS 2020
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract)
AAAI 2020
Lite Training Strategies for Portuguese-English and English-Portuguese Translation
EMNLP 2020
LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space
EMNLP 2020
Local Additivity Based Data Augmentation for Semi-supervised NER
EMNLP 2020
Locality and Compositionality in Zero-Shot Learning
ICLR 2020
Localized Learning of Robust Controllers for Networked Systems with Dynamic Topology
L4DC 2020
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation
EMNLP 2020
Locally Differentially Private (Contextual) Bandits Learning
NeurIPS 2020
Local Regularizer Improves Generalization
AAAI 2020
LoCo: Local Contrastive Representation Learning
NeurIPS 2020
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
EMNLP 2020