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)
Curriculum Multi-Negative Augmentation for Debiased Video Grounding
AAAI 2023
Curriculum Temperature for Knowledge Distillation
AAAI 2023
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
CVPR 2023
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending
CVPR 2023
Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
ICLR 2023
Cyclically Disentangled Feature Translation for Face Anti-spoofing
AAAI 2023
Czech-ing the News: Article Trustworthiness Dataset for Czech
ACL 2023
D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
NeurIPS 2023
D2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization
EMNLP 2023
D4AM: A General Denoising Framework for Downstream Acoustic Models
ICLR 2023
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
ICLR 2023
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning
AAAI 2023
DA-DETR: Domain Adaptive Detection Transformer With Information Fusion
CVPR 2023
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
AAAI 2023
DamoFD: Digging into Backbone Design on Face Detection
ICLR 2023
Data augmentation alone can improve adversarial training
ICLR 2023
Data Augmentation for Low-Resource Keyphrase Generation
ACL 2023
DataComp: In search of the next generation of multimodal datasets
NeurIPS 2023
Data Curation Alone Can Stabilize In-context Learning
ACL 2023
Data-Driven Feature Tracking for Event Cameras
CVPR 2023
Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision
CVPR 2023
Data-Free Sketch-Based Image Retrieval
CVPR 2023
Data-Informed Geometric Space Selection
NeurIPS 2023
Dataless Knowledge Fusion by Merging Weights of Language Models
ICLR 2023
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond
EMNLP 2023