Arnav Chavan
7 papers · 2021–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
❓
The Questioner
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Deep Learning
(5)
Application Areas
(5)
Core AI
(5)
Optimization & Theory · Deep Learning
(4)
Natural Language Processing
(2)
Resources & Methods
(2)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Optimization & Theory · Machine Learning
(1)
Techniques
(1)
Keywords
model compression
(6)
knowledge distillation
(3)
neural network pruning
(3)
post-training quantization
(1)
vision transformer
(1)
few-shot learning
(1)
neural architecture search
(1)
neural network optimization
(1)
efficient computing
(1)
continuous optimization
(1)
low-rank approximation
(1)
kernel selection
(1)
language model
(1)
inference efficiency
(1)
weight decomposition
(1)
commonsense reasoning
(1)
structured pruning
(1)
quantization-aware training
(1)
system-level optimization
(1)
feature space decomposition
(1)
Papers
S2D: Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations
CVPR 2026
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
IJCAI 2024
Surgical Feature-Space Decomposition of LLMs: Why, When and How?
ACL 2024
A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models
ACL 2023
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning
CVPR 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
CVPR 2022
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations
ICLR 2021