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)
PointPatchMix: Point Cloud Mixing with Patch Scoring
AAAI 2024
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
AAAI 2024
PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models
IJCAI 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
AAAI 2024
Point-VOS: Pointing Up Video Object Segmentation
CVPR 2024
Polarization of Autonomous Generative AI Agents Under Echo Chambers
ACL 2024
Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts
CVPR 2024
Policy Improvement using Language Feedback Models
NeurIPS 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
NeurIPS 2024
Polos: Multimodal Metric Learning from Human Feedback for Image Captioning
CVPR 2024
POP-CEE: Position-oriented Prompt-tuning Model for Causal Emotion Entailment
ACL 2024
Poseidon: Efficient Foundation Models for PDEs
NeurIPS 2024
PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization
CVPR 2024
Position: The Platonic Representation Hypothesis
ICML 2024
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
CVPR 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
AISTATS 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
NeurIPS 2024
PostureHMR: Posture Transformation for 3D Human Mesh Recovery
CVPR 2024
Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
NeurIPS 2024
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
AAAI 2024
PPTSER: A Plug-and-Play Tag-guided Method for Few-shot Semantic Entity Recognition on Visually-rich Documents
ACL 2024
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
CVPR 2024
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
CVPR 2024
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
EMNLP 2024
Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins
MIDL 2024