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)
Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models
Interspeech 2020
Enhancing Urban Flow Maps via Neural ODEs
IJCAI 2020
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources
ACL 2020
Enriched mixtures of generalised Gaussian process experts
AISTATS 2020
Ensemble Approaches for Uncertainty in Spoken Language Assessment
Interspeech 2020
Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks
CVPR 2020
Ensemble of Students Taught by Probabilistic Teachers to Improve Speech Emotion Recognition
Interspeech 2020
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection
ACL 2020
Ensembles of Locally Independent Prediction Models
AAAI 2020
Entity Enhanced BERT Pre-training for Chinese NER
EMNLP 2020
Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract)
AAAI 2020
Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues
AAAI 2020
Entropic Causal Inference: Identifiability and Finite Sample Results
NeurIPS 2020
Entropy Minimization In Emergent Languages
ICML 2020
ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts
EMNLP 2020
Episode-Based Prototype Generating Network for Zero-Shot Learning
CVPR 2020
EPOC: Efficient Perception via Optimal Communication
AAAI 2020
Equalization Loss for Long-Tailed Object Recognition
CVPR 2020
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization
CVPR 2020
Erasing Scene Text with Weak Supervision
WACV 2020
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
NeurIPS 2020
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract)
AAAI 2020
ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding
AAAI 2020
Error-Bounded Correction of Noisy Labels
ICML 2020
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection
EMNLP 2020