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)
Parallel Backpropagation for Shared-Feature Visualization
NeurIPS 2024
Parallel Structures in Pre-training Data Yield In-Context Learning
ACL 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
CVPR 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
ICML 2024
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
ICLR 2024
Parameter Efficient Self-Supervised Geospatial Domain Adaptation
CVPR 2024
ParamISP: Learned Forward and Inverse ISPs using Camera Parameters
CVPR 2024
PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment
EMNLP 2024
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
AAAI 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
NeurIPS 2024
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
CVPR 2024
PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation
CVPR 2024
Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling
ICML 2024
Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
CVPR 2024
patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds
AAAI 2024
Patched Line Segment Learning for Vector Road Mapping
AAAI 2024
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
CVPR 2024
Patentformer: A Novel Method to Automate the Generation of Patent Applications
EMNLP 2024
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology
AAAI 2024
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
ICLR 2024
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity
EMNLP 2024
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
NeurIPS 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
CVPR 2024
PDFTriage: Question Answering over Long, Structured Documents
EMNLP 2024
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
ICML 2024