Mohammad Akbari
12 papers · 2019–2025 · 10 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 ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Gold π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(69)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Deep Learning
(7)
Application Areas
(7)
Core AI
(6)
Optimization & Theory Β· Deep Learning
(5)
Computer Vision
(3)
Core Methods
(3)
Mathematics & Optimization
(2)
Architectures
(2)
Learning Types
(2)
Models
(2)
Optimization
(2)
Optimization & Theory Β· Machine Learning
(2)
Computer Science
(1)
Keywords
model compression
(3)
out-of-distribution detection
(2)
language model
(2)
intellectual property
(2)
knowledge distillation
(2)
large language model
(2)
text generation
(1)
efficient computing
(1)
robustness
(1)
image compression
(1)
privacy preservation
(1)
self-supervised learning
(1)
low-rank decomposition
(1)
neural architecture
(1)
optimal control
(1)
contextual information
(1)
gaussian process
(1)
rate distortion
(1)
autoencoders
(1)
image denoising
(1)
Papers
CASP: Compression of Large Multimodal Models Based on Attention Sparsity
CVPR 2025
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
CVPR 2025
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers
AAAI 2025
Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking
WACV 2025
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation
NAACL 2024
LaWa: Using Latent Space for In-Generation Image Watermarking
ECCV 2024
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages
CoNLL 2023
ETran: Energy-Based Transferability Estimation
ICCV 2023
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models
ACL 2022
Learned Bi-Resolution Image Coding using Generalized Octave Convolutions
AAAI 2021
Riccati updates for online linear quadratic control
L4DC 2020
Using Contextual Information to Improve Blood Glucose Prediction
MLHC 2019