Andreas Veit
17 papers · 2015–2024 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(16)
Deep Learning
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Learning Types Β· Deep Learning
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Learning Types Β· Machine Learning
(6)
Optimization & Theory Β· Machine Learning
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Keywords
convolutional neural network
(3)
knowledge distillation
(2)
image classification
(2)
representation learning
(2)
model compression
(2)
semi-supervised learning
(1)
structured prediction
(1)
metric learning
(1)
ensemble learning
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data augmentation
(1)
transfer learning
(1)
text classification
(1)
image retrieval
(1)
embedding learning
(1)
image generation
(1)
knowledge transfer
(1)
noisy label learning
(1)
knowledge editing
(1)
vision transformer
(1)
stochastic gradient descent
(1)
Papers
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
CVPR 2024
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
CVPR 2024
Large Language Models with Controllable Working Memory
ACL 2023
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
ICLR 2023
Coping with Label Shift via Distributionally Robust Optimisation
ICLR 2021
Long-tail learning via logit adjustment
ICLR 2021
RankDistil: Knowledge Distillation for Ranking
AISTATS 2021
Understanding Robustness of Transformers for Image Classification
ICCV 2021
How To Backdoor Federated Learning
AISTATS 2020
Why are Adaptive Methods Good for Attention Models?
NeurIPS 2020
Convolutional Networks with Adaptive Inference Graphs
ECCV 2018
Learning to Evaluate Image Captioning
CVPR 2018
Separating Self-Expression and Visual Content in Hashtag Supervision
CVPR 2018
Conditional Similarity Networks
CVPR 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
CVPR 2017
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
NeurIPS 2016
Learning Visual Clothing Style With Heterogeneous Dyadic Co-Occurrences
ICCV 2015