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)
Prior Knowledge-Guided Adversarial Training
ACL 2024
PRISM: A New Lens for Improved Color Understanding
EMNLP 2024
Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption
ICML 2024
Private Language Models via Truncated Laplacian Mechanism
EMNLP 2024
Privileged Prior Information Distillation for Image Matting
AAAI 2024
Probabilistic Calibration by Design for Neural Network Regression
AISTATS 2024
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness
NeurIPS 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NeurIPS 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time
AISTATS 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
NeurIPS 2024
Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion
CVPR 2024
Probing the 3D Awareness of Visual Foundation Models
CVPR 2024
Probing the Depths of Language Models’ Contact-Center Knowledge for Quality Assurance
EMNLP 2024
Probing the Emergence of Cross-lingual Alignment during LLM Training
ACL 2024
Probing the Uniquely Identifiable Linguistic Patterns of Conversational AI Agents
ACL 2024
Procedural Level Generation with Diffusion Models from a Single Example
AAAI 2024
ProConSuL: Project Context for Code Summarization with LLMs
EMNLP 2024
ProG: A Graph Prompt Learning Benchmark
NeurIPS 2024
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion
AAAI 2024
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
CVPR 2024
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation
AAAI 2024
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process
AAAI 2024
ProLex: A Benchmark for Language Proficiency-oriented Lexical Substitution
ACL 2024
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
ACL 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
EMNLP 2024