Saleh Ashkboos
7 papers · 2021–2024 · 3 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.
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(3)
Application Areas
(3)
Natural Language Processing
(2)
Optimization & Theory · Machine Learning
(2)
Resources & Methods
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Applications
(1)
Architectures
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Systems
(1)
Keywords
4-bit quantization
(2)
large language model
(2)
weight quantization
(2)
model compression
(2)
lower bound
(1)
ensemble forecast
(1)
edge computing
(1)
inference optimization
(1)
inference efficiency
(1)
post-training compression
(1)
distributed mean estimation
(1)
extreme event prediction
(1)
inference speedup
(1)
model sparsification
(1)
communication cost
(1)
generative pre-trained transformer
(1)
numerical weather prediction
(1)
weight compression
(1)
activation quantization
(1)
gpu kernel
(1)
Papers
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
NeurIPS 2024
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
EMNLP 2024
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
ICLR 2024
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
ICLR 2024
OPTQ: Accurate Quantization for Generative Pre-trained Transformers
ICLR 2023
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts
NeurIPS 2022
New Bounds For Distributed Mean Estimation and Variance Reduction
ICLR 2021