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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'10
'15
'20
'25
Papers (including subtopics)
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
Interspeech 2022
X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning
UAI 2022
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
ICLR 2022
XMP-Font: Self-Supervised Cross-Modality Pre-Training for Few-Shot Font Generation
CVPR 2022
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval
CVPR 2022
XPrompt: Exploring the Extreme of Prompt Tuning
EMNLP 2022
X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications
SemEval 2022
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing
EMNLP 2022
Yet@SMM4H’22: Improved BERT-based classification models with Rdrop and PolyLoss
COLING 2022
yiriyou@SMM4H’22: Stance and Premise Classification in Domain Specific Tweets with Dual-View Attention Neural Networks
COLING 2022
YNU-HPCC at SemEval-2022 Task 2: Representing Multilingual Idiomaticity based on Contrastive Learning
SemEval 2022
You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
NeurIPS 2022
You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM
EMNLP 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
ICML 2022
You Only Live Once: Single-Life Reinforcement Learning
NeurIPS 2022
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example
CoRL 2022
Your Out-of-Distribution Detection Method is Not Robust!
NeurIPS 2022
You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge
EMNLP 2022
ZARTS: On Zero-order Optimization for Neural Architecture Search
NeurIPS 2022
Zero- and Few-Shot NLP with Pretrained Language Models
ACL 2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
NeurIPS 2022
ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
CVPR 2022
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
ICLR 2022
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation
CVPR 2022
Zero-Query Transfer Attacks on Context-Aware Object Detectors
CVPR 2022