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
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'25
Papers (including subtopics)
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
CVPR 2024
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
CVPR 2024
PromptAD: Zero-Shot Anomaly Detection Using Text Prompts
WACV 2024
Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation
AAAI 2024
Prompt-Based Length Controlled Generation with Multiple Control Types
ACL 2024
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
CVPR 2024
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
CVPR 2024
Prompt-Driven Referring Image Segmentation with Instance Contrasting
CVPR 2024
Prompt Engineering a Prompt Engineer
ACL 2024
Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
CVPR 2024
Prompt Expansion for Adaptive Text-to-Image Generation
ACL 2024
Prompt Highlighter: Interactive Control for Multi-Modal LLMs
CVPR 2024
Prompting Classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation
WACV 2024
Prompting Multi-Modal Image Segmentation with Semantic Grouping
AAAI 2024
Prompting open-source and commercial language models for grammatical error correction of English learner text
ACL 2024
Prompting vision-language fusion for Zero-Shot Composed Image Retrieval
ACML 2024
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
EMNLP 2024
Prompt Learning via Meta-Regularization
CVPR 2024
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
EMNLP 2024
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming
ACL 2024
Prompt-Tuned Muti-Task Taxonomic Transformer (PTMTTaxoFormer)
EMNLP 2024
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
NeurIPS 2024
Proofread: Fixes All Errors with One Tap
ACL 2024
Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
NeurIPS 2024
Protecting Privacy in Classifiers by Token Manipulation
ACL 2024