Cover Image

Sparse High Rank Adapters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhardwaj, Kartikeya, Pandey, Nilesh Prasad, Priyadarshi, Sweta, Ganapathy, Viswanath, Kadambi, Shreya, Esteves, Rafael, Borse, Shubhankar, Whatmough, Paul, Garrepalli, Risheek, Van Baalen, Mart, Teague, Harris, Nagel, Markus
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters
by: Bhardwaj, Kartikeya, et al.
Published: (2024)

FouRA: Fourier Low Rank Adaptation
by: Borse, Shubhankar, et al.
Published: (2024)

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing
by: Kadambi, Shreya, et al.
Published: (2025)

Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language Models
by: Bhardwaj, Kartikeya, et al.
Published: (2024)

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans
by: Borse, Shubhankar, et al.
Published: (2025)

DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization
by: Roy, Aniket, et al.
Published: (2025)

SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization
by: Borse, Shubhankar, et al.
Published: (2025)

Leech Lattice Vector Quantization for Efficient LLM Compression
by: van der Ouderaa, Tycho F. A., et al.
Published: (2026)

Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
by: Federici, Marco, et al.
Published: (2024)

Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference
by: Skliar, Andrii, et al.
Published: (2024)

GPTVQ: The Blessing of Dimensionality for LLM Quantization
by: van Baalen, Mart, et al.
Published: (2024)

PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video Editing
by: Munir, Mustafa, et al.
Published: (2025)

Pruning vs Quantization: Which is Better?
by: Kuzmin, Andrey, et al.
Published: (2023)

DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning
by: Garrepalli, Risheek, et al.
Published: (2024)

Video Reasoning without Training
by: Sridhar, Deepak, et al.
Published: (2025)

FP8 Quantization: The Power of the Exponent
by: Kuzmin, Andrey, et al.
Published: (2022)

The LLM Surgeon
by: van der Ouderaa, Tycho F. A., et al.
Published: (2023)

Resolving the Identity Crisis in Text-to-Image Generation
by: Borse, Shubhankar, et al.
Published: (2025)

Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
by: Farhadzadeh, Farzad, et al.
Published: (2025)

LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
by: Farhadzadeh, Farzad, et al.
Published: (2025)

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
by: Muñoz, J. Pablo, et al.
Published: (2025)

Spiffy: Multiplying Diffusion LLM Acceleration via Lossless Speculative Decoding
by: Agrawal, Sudhanshu, et al.
Published: (2025)

ConFu: Contemplate the Future for Better Speculative Sampling
by: Qin, Zongyue, et al.
Published: (2026)

Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
by: Piskorz, Julianna, et al.
Published: (2025)

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
by: Yasarla, Rajeev, et al.
Published: (2023)

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs
by: Goel, Raghavv, et al.
Published: (2026)

Systems Toxicology of Bisphenol A: Mechanistic Overlap in Metabolic and Reproductive Disruption
by: Sweta Bhardwaj, et al.
Published: (2026)

ObjectAlign: Neuro-Symbolic Object Consistency Verification and Correction
by: Munir, Mustafa, et al.
Published: (2025)

SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations
by: Lin, Jamie Menjay, et al.
Published: (2024)

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation
by: Jeong, Jisoo, et al.
Published: (2024)

FPTQuant: Function-Preserving Transforms for LLM Quantization
by: van Breugel, Boris, et al.
Published: (2025)

Dissecting Quantization Error: A Concentration-Alignment Perspective
by: Federici, Marco, et al.
Published: (2026)

Clockwork Diffusion: Efficient Generation With Model-Step Distillation
by: Habibian, Amirhossein, et al.
Published: (2023)

Advancement in Haptic Devices Integrating 3D Printing
by: Prasad Borse, et al.
Published: (2025)

Lower Bound on the Greedy Approximation Ratio for Adaptive Submodular Cover
by: Harris, Blake, et al.
Published: (2024)

OFFSEG: A Semantic Segmentation Framework For Off-Road Driving
by: Viswanath, Kasi, et al.
Published: (2021)

STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization
by: Federici, Marco, et al.
Published: (2025)

HadaNorm: Diffusion Transformer Quantization through Mean-Centered Transformations
by: Federici, Marco, et al.
Published: (2025)

Shears: Unstructured Sparsity with Neural Low-rank Adapter Search
by: Muñoz, J. Pablo, et al.
Published: (2024)

A KL Lens on Quantization: Fast, Forward-Only Sensitivity for Mixed-Precision SSM-Transformer Models
by: Kong, Jason, et al.
Published: (2026)