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)
Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling
CVPR 2022
PointCLIP: Point Cloud Understanding by CLIP
CVPR 2022
Point Cloud Color Constancy
CVPR 2022
Point Cloud Pre-Training With Natural 3D Structures
CVPR 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
NeurIPS 2022
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
NeurIPS 2022
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
CVPR 2022
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
NeurIPS 2022
Polyglot Prompt: Multilingual Multitask Prompt Training
EMNLP 2022
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks
NeurIPS 2022
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
AAAI 2022
Pose and Joint-Aware Action Recognition
WACV 2022
Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
AAAI 2022
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction
AAAI 2022
PoseKernelLifter: Metric Lifting of 3D Human Pose Using Sound
CVPR 2022
Position Prediction as an Effective Pretraining Strategy
ICML 2022
PosterBot: A System for Generating Posters of Scientific Papers with Neural Models
AAAI 2022
Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models
AAAI 2022
Post-Training with Interrogative Sentences for Enhancing BART-based Korean Question Generator
AACL 2022
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
AAAI 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
AAAI 2022
PPT: Pre-trained Prompt Tuning for Few-shot Learning
ACL 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
NeurIPS 2022
Practical Benefits of Feature Feedback Under Distribution Shift
EMNLP 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
CVPR 2022