Aditya Desai
8 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π§ Keyword Pioneer
π₯
Unstoppable Β· Bronze
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Keyword Collector
(53)
Venues
Top co-authors
Research topics
Keywords
model compression
(4)
parameter sharing
(3)
representation learning
(1)
knowledge distillation
(1)
multimodal learning
(1)
network pruning
(1)
deep learning
(1)
parameter-efficient fine-tuning
(1)
neural network optimization
(1)
efficient inference
(1)
sparsity
(1)
sparse matrix
(1)
matrix sketching
(1)
memory efficiency
(1)
attention mechanism
(1)
memory optimization
(1)
recommendation system
(1)
inference optimization
(1)
inference efficiency
(1)
model quantization
(1)
Papers
HashAttention: Semantic Sparsity for Faster Inference
ICML 2025
Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation
ICML 2025
In defense of parameter sharing for model-compression
ICLR 2024
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
NeurIPS 2024
Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing
ICML 2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
NeurIPS 2023
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model
NeurIPS 2022
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler
NeurIPS 2021