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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'20
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Papers (including subtopics)
Best Arm Identification in Spectral Bandits
IJCAI 2020
Best-item Learning in Random Utility Models with Subset Choices
AISTATS 2020
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
AISTATS 2020
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
ACL 2020
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning
MIDL 2020
Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World
AAAI 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
AAAI 2020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
NeurIPS 2020
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
NeurIPS 2020
Beyond Labels: Knowledge Elicitation using Deep Metric Learning and Psychometric Testing
IJCAI 2020
Beyond Network Pruning: a Joint Search-and-Training Approach
IJCAI 2020
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
ICML 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties
NeurIPS 2020
Beyond Trees: Classification with Sparse Pairwise Dependencies
JMLR 2020
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
ICML 2020
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
ACL 2020
Biased TextRank: Unsupervised Graph-Based Content Extraction
COLING 2020
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
NeurIPS 2020
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy
AAAI 2020
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
IJCAI 2020
Bi-Directional Generation for Unsupervised Domain Adaptation
AAAI 2020
Bidirectional Graph Reasoning Network for Panoptic Segmentation
CVPR 2020
Bidirectional Model-based Policy Optimization
ICML 2020
Big Self-Supervised Models are Strong Semi-Supervised Learners
NeurIPS 2020
Bi-Level Speaker Supervision for One-Shot Speech Synthesis
Interspeech 2020