Elias Frantar
15 papers · 2020–2024 · 4 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π€ Dynamic Duo (15)
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Keyword Collector
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Machine Learning
(11)
Deep Learning
(10)
Artificial Intelligence
(9)
Core AI Β· Artificial Intelligence
(9)
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(8)
Optimization & Theory Β· Deep Learning
(6)
Optimization & Theory Β· Machine Learning
(5)
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(3)
Architectures
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Core AI Β· Computer Vision
(1)
Core Methods
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Keywords
model compression
(6)
weight quantization
(3)
neural network pruning
(3)
vision transformer
(2)
knowledge distillation
(2)
neural network compression
(2)
4-bit quantization
(2)
weight pruning
(2)
generative pre-trained transformer
(2)
model quantization
(2)
second-order optimization
(2)
inference optimization
(2)
large language model
(2)
model pruning
(2)
transformer
(1)
network pruning
(1)
pac learning
(1)
sample complexity
(1)
adversarial learning
(1)
saliency map
(1)
Papers
Error Feedback Can Accurately Compress Preconditioners
ICML 2024
Extreme Compression of Large Language Models via Additive Quantization
ICML 2024
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
EMNLP 2024
Scaling Laws for Sparsely-Connected Foundation Models
ICLR 2024
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
ICML 2024
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
ICLR 2024
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
NeurIPS 2023
OPTQ: Accurate Quantization for Generative Pre-trained Transformers
ICLR 2023
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
ICML 2023
ZipLM: Inference-Aware Structured Pruning of Language Models
NeurIPS 2023
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
NeurIPS 2022
SPDY: Accurate Pruning with Speedup Guarantees
ICML 2022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models
EMNLP 2022
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
NeurIPS 2021
On the Sample Complexity of Adversarial Multi-Source PAC Learning
ICML 2020