Ron Banner
14 papers · 2018–2025 · 5 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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πΊοΈ Taxonomy Completionist (19) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Dynamic Duo
(10)
π
Triple Crown
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(59)
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Trend Setter
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(8)
Application Areas
(7)
Optimization & Theory Β· Machine Learning
(5)
Optimization & Theory Β· Deep Learning
(5)
Techniques
(5)
Artificial Intelligence
(4)
Core AI Β· Artificial Intelligence
(4)
Computer Vision
(2)
Architectures
(2)
Learning Types
(2)
Natural Language Processing
(1)
Core AI Β· Computer Vision
(1)
Processing
(1)
Resources & Methods
(1)
Keywords
model compression
(4)
neural network quantization
(4)
gradient quantization
(3)
post-training quantization
(2)
batch normalization
(2)
4-bit quantization
(2)
convolutional network
(1)
closed-form solution
(1)
neural network training
(1)
distributed training
(1)
integer programming
(1)
convolutional neural network
(1)
model quantization
(1)
model training
(1)
latent space
(1)
weight decay
(1)
language model
(1)
generative adversarial network
(1)
activation function
(1)
efficient inference
(1)
Papers
Scaling FP8 training to trillion-token LLMs
ICLR 2025
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
ICLR 2023
DropCompute: simple and more robust distributed synchronous training via compute variance reduction
NeurIPS 2023
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
ICLR 2023
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
NeurIPS 2021
Accurate Post Training Quantization With Small Calibration Sets
ICML 2021
CAT: Compression-Aware Training for bandwidth reduction
JMLR 2021
GAN "Steerability" without optimization
ICLR 2021
Neural gradients are near-lognormal: improved quantized and sparse training
ICLR 2021
Robust Quantization: One Model to Rule Them All
NeurIPS 2020
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks
ECCV 2020
Post training 4-bit quantization of convolutional networks for rapid-deployment
NeurIPS 2019
Norm matters: efficient and accurate normalization schemes in deep networks
NeurIPS 2018
Scalable methods for 8-bit training of neural networks
NeurIPS 2018