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)
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition
CVPR 2023
Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection
ICCV 2023
Distilling Efficient Language-Specific Models for Cross-Lingual Transfer
ACL 2023
Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
CVPR 2023
Distilling from Similar Tasks for Transfer Learning on a Budget
ICCV 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks
ACML 2023
Distilling knowledge from Gaussian process teacher to neural network student
Interspeech 2023
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
ICCV 2023
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
CVPR 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
NeurIPS 2023
Distilling Reasoning Capabilities into Smaller Language Models
ACL 2023
Distilling Script Knowledge from Large Language Models for Constrained Language Planning
ACL 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
ACL 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
IJCAI 2023
Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization
CVPR 2023
Distill n’ Explain: explaining graph neural networks using simple surrogates
AISTATS 2023
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
ACL 2023
DistilPose: Tokenized Pose Regression With Heatmap Distillation
CVPR 2023
DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model
Interspeech 2023
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
CVPR 2023
Distractor Generation for Fill-in-the-Blank Exercises by Question Type
ACL 2023
Distributionally Robust Optimization with Probabilistic Group
AAAI 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts
ICLR 2023
Distributionally Robust Recourse Action
ICLR 2023
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
NeurIPS 2023