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)
Equitable and Optimal Transport with Multiple Agents
AISTATS 2021
Equivalent Causal Models
AAAI 2021
Equivariant Imaging: Learning Beyond the Range Space
ICCV 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
ACL 2021
ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora
EMNLP 2021
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs
AAAI 2021
Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting
AAAI 2021
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
CoRL 2021
Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments
RSS 2021
Error Identification for Machine Translation with Metric Embedding and Attention
EMNLP 2021
Error-Sensitive Evaluation for Ordinal Target Variables
EMNLP 2021
ESC: Redesigning WSD with Extractive Sense Comprehension
NAACL 2021
Essay Quality Signals as Weak Supervision for Source-based Essay Scoring
EACL 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning
L4DC 2021
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
NeurIPS 2021
Estimating α-Rank by Maximizing Information Gain
AAAI 2021
Estimation and Optimization of Composite Outcomes
JMLR 2021
eTranslation’s Submissions to the WMT 2021 News Translation Task
EMNLP 2021
eTREE: Learning Tree-structured Embeddings
AAAI 2021
Euphemistic Phrase Detection by Masked Language Model
EMNLP 2021
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
MLHC 2021
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
AAAI 2021
Evaluating Deception Detection Model Robustness To Linguistic Variation
NAACL 2021
Evaluating Evaluation Measures for Ordinal Classification and Ordinal Quantification
ACL 2021
Evaluating model performance under worst-case subpopulations
NeurIPS 2021