Daehyun Ahn
6 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird
π
Conference Pioneer
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Research topics
Keywords
efficient computing
(2)
sparse matrix
(2)
diffusion model
(2)
weight pruning
(2)
post-training quantization
(2)
model compression
(2)
viterbi algorithm
(1)
weight quantization
(1)
temporal variation
(1)
model efficiency
(1)
latency optimization
(1)
quantization-aware training
(1)
temporal convolution
(1)
binary neural network
(1)
index compression
(1)
neural network
(1)
dynamic quantization
(1)
low-bit activation
(1)
bimodal parameter perturbation
(1)
model quantization
(1)
Papers
RepTor: Re-parameterizable Temporal Convolution for Keyword Spotting via Differentiable Kernel Search
Interspeech 2024
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
NeurIPS 2023
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation
WACV 2023
Temporal Dynamic Quantization for Diffusion Models
NeurIPS 2023
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
ICLR 2019
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio
ICLR 2018