Kartik Gupta
8 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π Conference Polyglot (6) π§ Keyword Pioneer π Cross-Pollinator (11)
πΊοΈ
Taxonomy Completionist
(13)
β
The Questioner
(2)
Conferences
ICLR (2)
ICML (2)
AAAI (1)
AISTATS (1)
ECCV (1)
WACV (1)
Top co-authors
Keywords
neural network quantization
(3)
straight-through estimator
(2)
model compression
(2)
neural network optimization
(1)
constrained optimization
(1)
gradient descent
(1)
robust pca
(1)
matrix completion
(1)
low-rank matrix
(1)
mirror descent
(1)
projected gradient descent
(1)
adversarial attack
(1)
edge computing
(1)
gradient vanishing
(1)
temperature scaling
(1)
quantization-aware training
(1)
hard thresholding
(1)
corrupted entries
(1)
quantized network
(1)
gradient-based adversarial attack
(1)
Papers
Can We Predict Performance of Large Models across Vision-Language Tasks?
ICML 2025
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
ECCV 2024
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks
WACV 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
ICLR 2024
Improved Gradient-Based Adversarial Attacks for Quantized Networks
AAAI 2022
Mirror Descent View for Neural Network Quantization
AISTATS 2021
Calibration of Neural Networks using Splines
ICLR 2021
Nearly Optimal Robust Matrix Completion
ICML 2017