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)
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting
ACL 2024
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis
EMNLP 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation
IJCAI 2024
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference
AAAI 2024
Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling
AAAI 2024
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
CVPR 2024
Boosting Residual Networks with Group Knowledge
AAAI 2024
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
NeurIPS 2024
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?
EMNLP 2024
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
CVPR 2024
Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing
NeurIPS 2024
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
IJCAI 2024
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
ICLR 2024
Boosting the Potential of Large Language Models with an Intelligent Information Assistant
NeurIPS 2024
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
NeurIPS 2024
Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition
Interspeech 2024
Boosting Transferability and Discriminability for Time Series Domain Adaptation
NeurIPS 2024
Boosting Vision-Language Models with Transduction
NeurIPS 2024
Boosting Weakly Supervised Object Detection Using Fusion and Priors From Hallucinated Depth
WACV 2024
Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension
NeurIPS 2024
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection
ACL 2024
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
ICML 2024
Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
CVPR 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
CVPR 2024
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
ACL 2024