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
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8
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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)
WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations
NAACL 2021
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
ICLR 2021
X-Class: Text Classification with Extremely Weak Supervision
NAACL 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
NeurIPS 2021
X-Fact: A New Benchmark Dataset for Multilingual Fact Checking
ACL 2021
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation
ACL 2021
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering
ACL 2021
XOR-CD: Linearly Convergent Constrained Structure Generation
ICML 2021
XPersona: Evaluating Multilingual Personalized Chatbot
EMNLP 2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
EMNLP 2021
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews
EMNLP 2021
You Never Cluster Alone
NeurIPS 2021
YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective
SemEval 2021
YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You Need
SemEval 2021
You Only Need Adversarial Supervision for Semantic Image Synthesis
ICLR 2021
Your "Flamingo" is My "Bird": Fine-Grained, or Not
CVPR 2021
You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems
CVPR 2021
Y-Vector: Multiscale Waveform Encoder for Speaker Embedding
Interspeech 2021
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition
ICCV 2021
Zera-Shot Sentiment Analysis for Code-Mixed Data
AAAI 2021
Zero-Pair Image to Image Translation Using Domain Conditional Normalization
WACV 2021
Zero-Shot Adversarial Quantization
CVPR 2021
Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition
IJCAI 2021
Zero-Shot Clinical Questionnaire Filling From Human-Machine Interactions
EMNLP 2021
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection
EACL 2021