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)
Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory
AAAI 2022
Toward Understanding Privileged Features Distillation in Learning-to-Rank
NeurIPS 2022
Toward Unifying Text Segmentation and Long Document Summarization
EMNLP 2022
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.
COLING 2022
Trace norm regularization for multi-task learning with scarce data
COLT 2022
Tracking COVID-19 protest events in the United States. Shared Task 2: Event Database Replication, CASE 2022
EMNLP 2022
Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract)
AAAI 2022
Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
NeurIPS 2022
Tracking Most Significant Arm Switches in Bandits
COLT 2022
Tracking Satisfaction States for Customer Satisfaction Prediction in E-commerce Service Chatbots
COLING 2022
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
IJCAI 2022
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders
NeurIPS 2022
Trading-Off Information Modalities in Zero-Shot Classification
WACV 2022
Trading Off Resource Budgets For Improved Regret Bounds
NeurIPS 2022
Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models
JMLR 2022
Training and Inference on Any-Order Autoregressive Models the Right Way
NeurIPS 2022
Training Data Generation with DOA-based Selecting and Remixing for Unsupervised Training of Deep Separation Models
Interspeech 2022
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data
ACL 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
EMNLP 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
CVPR 2022
Training OOD Detectors in their Natural Habitats
ICML 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
AAAI 2022
Training speaker recognition systems with limited data
Interspeech 2022
Training Spiking Neural Networks with Local Tandem Learning
NeurIPS 2022
Training Subset Selection for Weak Supervision
NeurIPS 2022