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)
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
CVPR 2022
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding
ACL 2022
Query-based Instance Discrimination Network for Relational Triple Extraction
EMNLP 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
ICML 2022
QUERY EFFICIENT DECISION BASED SPARSE ATTACKS AGAINST BLACK-BOX DEEP LEARNING MODELS
ICLR 2022
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency
EMNLP 2022
QuickGraph: A Rapid Annotation Tool for Knowledge Graph Extraction from Technical Text
ACL 2022
QuoteR: A Benchmark of Quote Recommendation for Writing
ACL 2022
R3M: A Universal Visual Representation for Robot Manipulation
CoRL 2022
RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
NAACL 2022
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising
CVPR 2022
Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting
Interspeech 2022
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering
EMNLP 2022
Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding
IJCAI 2022
Raising the Bar in Graph-level Anomaly Detection
IJCAI 2022
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
NeurIPS 2022
Random Effect Bandits
AISTATS 2022
Random Forest Density Estimation
ICML 2022
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets
NeurIPS 2022
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
NeurIPS 2022
Random Normalization Aggregation for Adversarial Defense
NeurIPS 2022
Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis
AAAI 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
NeurIPS 2022
RankGen: Improving Text Generation with Large Ranking Models
EMNLP 2022
Ranking Environment, Social And Governance Related Concepts And Assessing Sustainability Aspect of Financial Texts
EMNLP 2022