Thalaiyasingam Ajanthan
19 papers · 2015–2025 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(17)
Computer Vision
(9)
Deep Learning
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Application Areas
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Optimization & Theory Β· Machine Learning
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Analysis
(6)
Techniques
(6)
Learning Types Β· Machine Learning
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Core Methods
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Mathematics & Optimization
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Optimization
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Keywords
model compression
(3)
neural network quantization
(3)
neural network
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semantic segmentation
(2)
connection sensitivity
(2)
domain adaptation
(2)
graph cut
(2)
network pruning
(2)
image classification
(1)
neural network training
(1)
representation learning
(1)
few-shot learning
(1)
non-convex optimization
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adversarial robustness
(1)
feature learning
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stochastic gradient
(1)
energy minimization
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image retrieval
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computer vision
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image restoration
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Papers
Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval
ICCV 2025
Nesterov Method for Asynchronous Pipeline Parallel Optimization
ICML 2025
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame
NeurIPS 2024
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups
ICCV 2023
Few-Shot Weakly-Supervised Object Detection via Directional Statistics
WACV 2022
Improved Gradient-Based Adversarial Attacks for Quantized Networks
AAAI 2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
CVPR 2022
Calibration of Neural Networks using Splines
ICLR 2021
Mirror Descent View for Neural Network Quantization
AISTATS 2021
Understanding the effects of data parallelism and sparsity on neural network training
ICLR 2021
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
ICLR 2020
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization
ECCV 2020
Learning to Adapt for Stereo
CVPR 2019
Proximal Mean-Field for Neural Network Quantization
ICCV 2019
SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
ICLR 2019
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
ECCV 2018
Efficient Linear Programming for Dense CRFs
CVPR 2017
Memory Efficient Max Flow for Multi-Label Submodular MRFs
CVPR 2016
Iteratively Reweighted Graph Cut for Multi-Label MRFs With Non-Convex Priors
CVPR 2015