Nilesh Jain
12 papers · 2022–2025 · 9 venues · across top CS/AI venues
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
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Machine Learning
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Optimization & Theory · Machine Learning
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Keywords
model compression
(6)
neural architecture search
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parameter-efficient fine-tuning
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memory efficiency
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low-rank adaptation
(2)
large language model
(2)
low-rank adapter
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weight sharing
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3d gaussian splatting
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network pruning
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bayesian inference
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sparse model
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inference efficiency
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model architecture
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recommendation system
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model merging
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evolutionary algorithm
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token pruning
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neural radiance field
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gaussian splatting
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Papers
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction
ICCV 2025
KVCrush: Key Value Cache size-reduction using similarity in head-behaviour
ACML 2025
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models
NAACL 2025
Retri3D: 3D Neural Graphics Representation Retrieval
ICLR 2025
EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks
COLING 2024
LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models
COLING 2024
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search
NAACL 2024
SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
EMNLP 2024
Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation
ECCV 2024
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation
ACML 2023
Automated Super-Network Generation for Scalable Neural Architecture Search
AutoML 2022
EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring
NeurIPS 2022