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)
Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks
ACL 2024
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
ICML 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
CVPR 2024
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
CVPR 2024
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
EMNLP 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
ACL 2024
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
NeurIPS 2024
Perfect Alignment May be Poisonous to Graph Contrastive Learning
ICML 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences
NeurIPS 2024
Persistence Homology Distillation for Semi-supervised Continual Learning
NeurIPS 2024
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
AAAI 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
NeurIPS 2024
Personalized Federated Learning via Feature Distribution Adaptation
NeurIPS 2024
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
EMNLP 2024
Personalized Topic Selection Model for Topic-Grounded Dialogue
ACL 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
NeurIPS 2024
Personas as a Way to Model Truthfulness in Language Models
EMNLP 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
AAAI 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
CVPR 2024
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
ICLR 2024
PeVL: Pose-Enhanced Vision-Language Model for Fine-Grained Human Action Recognition
CVPR 2024
PGVT: Pose-Guided Video Transformer for Fine-Grained Action Recognition
WACV 2024
Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors
AAAI 2024
Phased Consistency Models
NeurIPS 2024
Phased Instruction Fine-Tuning for Large Language Models
ACL 2024