Vahid Partovi Nia
9 papers · 2018–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(9)
Application Areas
(8)
Deep Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Optimization & Theory · Deep Learning
(5)
Learning Types
(3)
Optimization & Theory · Machine Learning
(3)
Techniques
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Models
(1)
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
Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation
EACL 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
NeurIPS 2023
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
AAAI 2022
Is Integer Arithmetic Enough for Deep Learning Training?
NeurIPS 2022
Demystifying and Generalizing BinaryConnect
NeurIPS 2021
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
NeurIPS 2021
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
NeurIPS 2018