Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders
CVPR 2023
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
WACV 2023
Learning Activation Functions for Sparse Neural Networks
AutoML 2023
Learning Adaptive Dense Event Stereo From the Image Domain
CVPR 2023
Learning a Generalized Gaze Estimator from Gaze-Consistent Feature
AAAI 2023
Learning Anchor Transformations for 3D Garment Animation
CVPR 2023
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India
IJCAI 2023
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators
ACL 2023
Learning Antidote Data to Individual Unfairness
ICML 2023
Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models
CVPR 2023
Learning A Self-Supervised Domain-Invariant Feature Representation for Generalized Audio Deepfake Detection
Interspeech 2023
Learning-augmented private algorithms for multiple quantile release
ICML 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
NeurIPS 2023
Learning by Analogy: Diverse Questions Generation in Math Word Problem
ACL 2023
Learning by Hallucinating: Vision-Language Pre-Training With Weak Supervision
WACV 2023
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
IJCAI 2023
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
WACV 2023
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction
ICML 2023
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
ICML 2023
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition
Interspeech 2023
Learning Customized Visual Models With Retrieval-Augmented Knowledge
CVPR 2023
Learning Debiased Representations via Conditional Attribute Interpolation
CVPR 2023
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective
CVPR 2023
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data
L4DC 2023
Learning Domain-Agnostic Representation for Disease Diagnosis
ICLR 2023