ZOQO: Zero-Order Quantized Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Bar, Noga, Giryes, Raja |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pruning at Initialization -- A Sketching Perspective
by: Bar, Noga, et al.
Published: (2023)
by: Bar, Noga, et al.
Published: (2023)
Diverse Subset Selection via Norm-Based Sampling and Orthogonality
by: Bar, Noga, et al.
Published: (2024)
by: Bar, Noga, et al.
Published: (2024)
Multiplicative Reweighting for Robust Neural Network Optimization
by: Bar, Noga, et al.
Published: (2021)
by: Bar, Noga, et al.
Published: (2021)
Revisiting Glorot Initialization for Long-Range Linear Recurrences
by: Bar, Noga, et al.
Published: (2025)
by: Bar, Noga, et al.
Published: (2025)
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness
by: Kurtz, Yoav, et al.
Published: (2023)
by: Kurtz, Yoav, et al.
Published: (2023)
Mamba Knockout for Unraveling Factual Information Flow
by: Endy, Nir, et al.
Published: (2025)
by: Endy, Nir, et al.
Published: (2025)
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions
by: Yanuka, Moran, et al.
Published: (2024)
by: Yanuka, Moran, et al.
Published: (2024)
RaZeR: Pushing the Limits of NVFP4 Quantization with Redundant Zero Remapping
by: Chen, Yuzong, et al.
Published: (2025)
by: Chen, Yuzong, et al.
Published: (2025)
Training a Bilingual Language Model by Mapping Tokens onto a Shared Character Space
by: Rom, Aviad, et al.
Published: (2024)
by: Rom, Aviad, et al.
Published: (2024)
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
by: Zandieh, Amir, et al.
Published: (2024)
by: Zandieh, Amir, et al.
Published: (2024)
Optimizing Large Language Model Training Using FP4 Quantization
by: Wang, Ruizhe, et al.
Published: (2025)
by: Wang, Ruizhe, et al.
Published: (2025)
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation
by: Ayzenberg, Lev, et al.
Published: (2024)
by: Ayzenberg, Lev, et al.
Published: (2024)
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
by: Jia, Jinghan, et al.
Published: (2024)
by: Jia, Jinghan, et al.
Published: (2024)
UDPM: Upsampling Diffusion Probabilistic Models
by: Abu-Hussein, Shady, et al.
Published: (2023)
by: Abu-Hussein, Shady, et al.
Published: (2023)
Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review
by: Raja, Rahul, et al.
Published: (2025)
by: Raja, Rahul, et al.
Published: (2025)
On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization
by: Katti, Prabodh, et al.
Published: (2025)
by: Katti, Prabodh, et al.
Published: (2025)
Scaling Laws For Mixed Quantization
by: Cao, Zeyu, et al.
Published: (2024)
by: Cao, Zeyu, et al.
Published: (2024)
Efficient Second-Order Neural Network Optimization via Adaptive Trust Region Methods
by: Vo, James
Published: (2024)
by: Vo, James
Published: (2024)
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
by: Zhang, Yihua, et al.
Published: (2024)
by: Zhang, Yihua, et al.
Published: (2024)
Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens
by: Ouyang, Xu, et al.
Published: (2024)
by: Ouyang, Xu, et al.
Published: (2024)
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizers
by: Williams, Joshua Nathaniel, et al.
Published: (2024)
by: Williams, Joshua Nathaniel, et al.
Published: (2024)
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
Scaling Law for Quantization-Aware Training
by: Chen, Mengzhao, et al.
Published: (2025)
by: Chen, Mengzhao, et al.
Published: (2025)
GPTVQ: The Blessing of Dimensionality for LLM Quantization
by: van Baalen, Mart, et al.
Published: (2024)
by: van Baalen, Mart, et al.
Published: (2024)
SqueezeLLM: Dense-and-Sparse Quantization
by: Kim, Sehoon, et al.
Published: (2023)
by: Kim, Sehoon, et al.
Published: (2023)
Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free
by: Choi, Euntae, et al.
Published: (2025)
by: Choi, Euntae, et al.
Published: (2025)
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
by: Cheng, Wenhua, et al.
Published: (2023)
by: Cheng, Wenhua, et al.
Published: (2023)
In-context Learning and Gradient Descent Revisited
by: Deutch, Gilad, et al.
Published: (2023)
by: Deutch, Gilad, et al.
Published: (2023)
Prior-Informed Zeroth-Order Optimization with Adaptive Direction Alignment for Memory-Efficient LLM Fine-Tuning
by: Jin, Feihu, et al.
Published: (2026)
by: Jin, Feihu, et al.
Published: (2026)
Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
by: Shang, Sifeng, et al.
Published: (2025)
by: Shang, Sifeng, et al.
Published: (2025)
Compression Scaling Laws:Unifying Sparsity and Quantization
by: Frantar, Elias, et al.
Published: (2025)
by: Frantar, Elias, et al.
Published: (2025)
FlatQuant: Flatness Matters for LLM Quantization
by: Sun, Yuxuan, et al.
Published: (2024)
by: Sun, Yuxuan, et al.
Published: (2024)
Quantization of Large Language Models with an Overdetermined Basis
by: Merkulov, Daniil, et al.
Published: (2024)
by: Merkulov, Daniil, et al.
Published: (2024)
QEFT: Quantization for Efficient Fine-Tuning of LLMs
by: Lee, Changhun, et al.
Published: (2024)
by: Lee, Changhun, et al.
Published: (2024)
On the Importance of a Multi-Scale Calibration for Quantization
by: Son, Seungwoo, et al.
Published: (2026)
by: Son, Seungwoo, et al.
Published: (2026)
Robust Training of Vector Quantized Bottleneck Models
by: Łańcucki, Adrian, et al.
Published: (2020)
by: Łańcucki, Adrian, et al.
Published: (2020)
How Does Quantization Affect Multilingual LLMs?
by: Marchisio, Kelly, et al.
Published: (2024)
by: Marchisio, Kelly, et al.
Published: (2024)
FBQuant: FeedBack Quantization for Large Language Models
by: Liu, Yijiang, et al.
Published: (2025)
by: Liu, Yijiang, et al.
Published: (2025)
How Quantization Shapes Bias in Large Language Models
by: Marcuzzi, Federico, et al.
Published: (2025)
by: Marcuzzi, Federico, et al.
Published: (2025)
On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks
by: Gupta, Aarav, et al.
Published: (2026)
by: Gupta, Aarav, et al.
Published: (2026)
Similar Items
-
Pruning at Initialization -- A Sketching Perspective
by: Bar, Noga, et al.
Published: (2023) -
Diverse Subset Selection via Norm-Based Sampling and Orthogonality
by: Bar, Noga, et al.
Published: (2024) -
Multiplicative Reweighting for Robust Neural Network Optimization
by: Bar, Noga, et al.
Published: (2021) -
Revisiting Glorot Initialization for Long-Range Linear Recurrences
by: Bar, Noga, et al.
Published: (2025) -
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness
by: Kurtz, Yoav, et al.
Published: (2023)