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)
Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings
AAAI 2021
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
NeurIPS 2021
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits
ICML 2021
Alohamora: Reviving HTTP/2 Push and Preload by Adapting Policies On the Fly
NSDI 2021
AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence
CVPR 2021
Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models
EACL 2021
Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective
AAAI 2021
Alternative Microfoundations for Strategic Classification
ICML 2021
Altruism Design in Networked Public Goods Games
IJCAI 2021
ALUE: Arabic Language Understanding Evaluation
EACL 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
ICCV 2021
A Machine Teaching Framework for Scalable Recognition
ICCV 2021
Amata: An Annealing Mechanism for Adversarial Training Acceleration
AAAI 2021
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
NeurIPS 2021
A Max-Min Entropy Framework for Reinforcement Learning
NeurIPS 2021
Amendable Generation for Dialogue State Tracking
EMNLP 2021
A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples
Interspeech 2021
Amherst685 at SemEval-2021 Task 7: Joint Modeling of Classification and Regression for Humor and Offense
SemEval 2021
A Minimalist Approach to Offline Reinforcement Learning
NeurIPS 2021
A Mixture-of-Experts Model for Antonym-Synonym Discrimination
ACL 2021
A Multi-Class Hinge Loss for Conditional GANs
WACV 2021
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation
EMNLP 2021
A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19
EMNLP 2021
A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment
WACV 2021
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering
ACL 2021