Vahid Partovi Nia
9 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) π Academic Marathon (7) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(20)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
β
The Questioner
Conferences
NIPS (5)
AAAI (2)
EACL (1)
ICCV (1)
Top co-authors
Keywords
model compression
(7)
weight quantization
(3)
neural network optimization
(3)
binary neural network
(2)
causal discovery
(1)
knowledge distillation
(1)
causal inference
(1)
deep learning training
(1)
stochastic gradient descent
(1)
gaussian process
(1)
gradient descent
(1)
dual averaging
(1)
hessian approximation
(1)
kronecker product
(1)
mixture model
(1)
proximal maps
(1)
conditional gradient
(1)
proximal operator
(1)
convolutional neural network
(1)
tensor decomposition
(1)
Papers
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
AAAI 2025
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization
ICCV 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
NIPS 2023
Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation
EACL 2023
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
AAAI 2022
Is Integer Arithmetic Enough for Deep Learning Training?
NIPS 2022
Demystifying and Generalizing BinaryConnect
NIPS 2021
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
NIPS 2021
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
NIPS 2018