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)
Orthogonal Multi-Manifold Enriching of Directed Networks
AISTATS 2022
OSKDet: Orientation-Sensitive Keypoint Localization for Rotated Object Detection
CVPR 2022
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport
NeurIPS 2022
OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification
EMNLP 2022
Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data
AAAI 2022
Out of Distribution Detection via Neural Network
Anchoring
ACML 2022
OVE6D: Object Viewpoint Encoding for Depth-Based 6D Object Pose Estimation
CVPR 2022
Overcoming a Theoretical Limitation of Self-Attention
ACL 2022
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation
ACL 2022
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
CVPR 2022
Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion
ACL 2022
Overview of the Shared Task on Machine Translation in Dravidian Languages
ACL 2022
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
AAAI 2022
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
NeurIPS 2022
P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior
CVPR 2022
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance
EMNLP 2022
Packed Levitated Marker for Entity and Relation Extraction
ACL 2022
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
ICML 2022
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
NeurIPS 2022
PANDAS@Abusive Comment Detection in Tamil Code-Mixed Data Using Custom Embeddings with LaBSE
ACL 2022
PANDAS@TamilNLP-ACL2022: Emotion Analysis in Tamil Text using Language Agnostic Embeddings
ACL 2022
Panoptic, Instance and Semantic Relations: A Relational Context Encoder To Enhance Panoptic Segmentation
CVPR 2022
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
CVPR 2022
PantheonRL: A MARL Library for Dynamic Training Interactions
AAAI 2022
Papago’s Submission to the WMT22 Quality Estimation Shared Task
EMNLP 2022