Amir Gholami
27 papers · 2018–2025 · 8 venues · across top CS/AI venues
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(3)
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(26)
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(12)
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Century Club Β· Bronze
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Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(22)
Deep Learning
(18)
Artificial Intelligence
(16)
Core AI
(16)
Application Areas
(14)
Optimization & Theory Β· Machine Learning
(13)
Optimization & Theory Β· Deep Learning
(11)
Natural Language Processing
(7)
Techniques
(7)
Generation
(4)
Learning Types Β· Machine Learning
(4)
Architectures
(3)
Models
(3)
Resources & Methods
(3)
Learning Types Β· Deep Learning
(2)
Keywords
model compression
(8)
neural network optimization
(6)
large language model
(5)
inference efficiency
(4)
model quantization
(4)
mixed-precision quantization
(4)
neural network quantization
(3)
hessian spectrum
(2)
large batch training
(2)
executor
(2)
hessian analysis
(2)
transformer architecture
(2)
quantization
(2)
knowledge distillation
(2)
scientific machine learning
(2)
batch normalization
(2)
data augmentation
(2)
partial differential equation
(2)
neural network
(2)
object detection
(1)
Papers
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks
ICML 2025
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
ICML 2025
Squeezed Attention: Accelerating Long Context Length LLM Inference
ACL 2025
An LLM Compiler for Parallel Function Calling
ICML 2024
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
NeurIPS 2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
ACL 2024
SqueezeLLM: Dense-and-Sparse Quantization
ICML 2024
TinyAgent: Function Calling at the Edge
EMNLP 2024
Speculative Decoding with Big Little Decoder
NeurIPS 2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
NeurIPS 2023
A Fast Post-Training Pruning Framework for Transformers
NeurIPS 2022
Hessian-Aware Pruning and Optimal Neural Implant
WACV 2022
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
NeurIPS 2022
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
AAAI 2021
Characterizing possible failure modes in physics-informed neural networks
NeurIPS 2021
HAWQ-V3: Dyadic Neural Network Quantization
ICML 2021
I-BERT: Integer-only BERT Quantization
ICML 2021
Boundary thickness and robustness in learning models
NeurIPS 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
NeurIPS 2020
Inefficiency of K-FAC for Large Batch Size Training
AAAI 2020
PowerNorm: Rethinking Batch Normalization in Transformers
ICML 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
AAAI 2020
ZeroQ: A Novel Zero Shot Quantization Framework
CVPR 2020
ANODEV2: A Coupled Neural ODE Framework
NeurIPS 2019
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision
ICCV 2019
Trust Region Based Adversarial Attack on Neural Networks
CVPR 2019
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
NeurIPS 2018