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)
On Importance Sampling-Based Evaluation of Latent Language Models
ACL 2020
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks
CVPR 2020
On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption
ALT 2020
On Learning Ising Models under Huber's Contamination Model
NeurIPS 2020
Online Active Learning of Reject Option Classifiers
AAAI 2020
Online Adaptation for Consistent Mesh Reconstruction in the Wild
NeurIPS 2020
Online Agnostic Boosting via Regret Minimization
NeurIPS 2020
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
NeurIPS 2020
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
NeurIPS 2020
Online Bayesian Persuasion
NeurIPS 2020
Online Binary Space Partitioning Forests
AISTATS 2020
Online Continual Learning from Imbalanced Data
ICML 2020
Online Conversation Disentanglement with Pointer Networks
EMNLP 2020
Online Convex Optimization Over Erdos-Renyi Random Networks
NeurIPS 2020
Online Data Poisoning Attacks
L4DC 2020
Online Deep Clustering for Unsupervised Representation Learning
CVPR 2020
Online Depth Learning Against Forgetting in Monocular Videos
CVPR 2020
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments
AAAI 2020
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
NeurIPS 2020
Online Hashing with Efficient Updating of Binary Codes
AAAI 2020
Online Knowledge Distillation via Collaborative Learning
CVPR 2020
Online Learned Continual Compression with Adaptive Quantization Modules
ICML 2020
Online Learning for Active Cache Synchronization
ICML 2020
Online Learning in Changing Environments
IJCAI 2020
Online Learning in Contextual Bandits using Gated Linear Networks
NeurIPS 2020