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)
A Rule Mining-based Advanced Persistent Threats Detection System
IJCAI 2021
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
AAAI 2021
A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion
AAAI 2021
ASCNet: Self-Supervised Video Representation Learning With Appearance-Speed Consistency
ICCV 2021
A Second-Order Approach to Learning With Instance-Dependent Label Noise
CVPR 2021
A Self-Boosting Framework for Automated Radiographic Report Generation
CVPR 2021
A Semantic-based Method for Unsupervised Commonsense Question Answering
ACL 2021
A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents
ACL 2021
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
NeurIPS 2021
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
AAAI 2021
A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation
ICCV 2021
A Simple Baseline for Weakly-Supervised Scene Graph Generation
ICCV 2021
A Simple Recipe for Multilingual Grammatical Error Correction
ACL 2021
A single gradient step finds adversarial examples on random two-layers neural networks
NeurIPS 2021
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval With Partial Query
ICCV 2021
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering
AAAI 2021
A Sliding-Window Approach to Automatic Creation of Meeting Minutes
NAACL 2021
Aspect-Controllable Opinion Summarization
EMNLP 2021
Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework
AAAI 2021
ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling
ACL 2021
ASR Posterior-Based Loss for Multi-Task End-to-End Speech Translation
Interspeech 2021
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference
EMNLP 2021
Assessing the Reliability of Word Embedding Gender Bias Measures
EMNLP 2021
Assessment of von Mises-Bernoulli Deep Neural Network in Sound Source Localization
Interspeech 2021
AStarTwice at SemEval-2021 Task 5: Toxic Span Detection Using RoBERTa-CRF, Domain Specific Pre-Training and Self-Training
SemEval 2021