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)
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction
AAAI 2023
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
NeurIPS 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
CVPR 2023
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
ICLR 2023
Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme
EMNLP 2023
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification
CVPR 2023
PIVOINE: Instruction Tuning for Open-world Entity Profiling
EMNLP 2023
PIVOT: Prompting for Video Continual Learning
CVPR 2023
Pix2Video: Video Editing using Image Diffusion
ICCV 2023
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
AAAI 2023
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers
AAAI 2023
Pixel-Wise Warping for Deep Image Stitching
AAAI 2023
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding
CVPR 2023
Planning with Sequence Models through Iterative Energy Minimization
ICLR 2023
PlayGround Low Resource Machine Translation System for the 2023 AmericasNLP Shared Task
ACL 2023
Plug-and-Play Document Modules for Pre-trained Models
ACL 2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models
ACL 2023
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication
NeurIPS 2023
PMAES: Prompt-mapping Contrastive Learning for Cross-prompt Automated Essay Scoring
ACL 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations
AAAI 2023
POE: Process of Elimination for Multiple Choice Reasoning
EMNLP 2023
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples
AAAI 2023
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting
CVPR 2023
PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering
CVPR 2023
PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos
CVPR 2023