Massoud Pedram
10 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Deep Learning
(7)
Core AI
(7)
Application Areas
(5)
Optimization & Theory Β· Machine Learning
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Computer Vision
(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Keywords
model compression
(4)
conformal prediction
(2)
spiking neural network
(2)
neural network pruning
(2)
knowledge distillation
(1)
adversarial training
(1)
few-shot learning
(1)
model robustness
(1)
adversarial robustness
(1)
attention mechanism
(1)
computer vision
(1)
language modeling
(1)
neuromorphic hardware
(1)
task generalization
(1)
energy efficiency
(1)
transfer learning
(1)
spectral decomposition
(1)
adversarial attack
(1)
state space model
(1)
multi-task learning
(1)
Papers
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair
WACV 2026
Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programming
IJCAI 2025
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
ICML 2025
MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba
ICLR 2025
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation
EMNLP 2024
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness
WACV 2023
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
NeurIPS 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise
ICCV 2021
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression
WACV 2021
A Meta-Learning Approach for Custom Model Training
AAAI 2019