Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?
EMNLP 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
NeurIPS 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
AAAI 2024
Boosting Adversarial Transferability by Block Shuffle and Rotation
CVPR 2024
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
NeurIPS 2024
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
CVPR 2024
Boosting Few-Shot Learning via Attentive Feature Regularization
AAAI 2024
Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
CVPR 2024
Boosting Image Restoration via Priors from Pre-trained Models
CVPR 2024
Boosting Residual Networks with Group Knowledge
AAAI 2024
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?
EMNLP 2024
Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations
CVPR 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 Weakly Supervised Referring Image Segmentation via Progressive Comprehension
NeurIPS 2024
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
ICML 2024
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
ACL 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
CVPR 2024
Bootstrapping Cognitive Agents with a Large Language Model
AAAI 2024
Bootstrapping Large Language Models for Radiology Report Generation
AAAI 2024
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
ACL 2024
Bootstrapping SparseFormers from Vision Foundation Models
CVPR 2024
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation
MIDL 2024
Boundary Matters: A Bi-Level Active Finetuning Method
NeurIPS 2024