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12/25/2022
BD-KD: Balancing the Divergences for Online Knowledge Distillation
Knowledge distillation (KD) has gained a lot of attention in the field o...
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12/20/2022
KronA: Parameter Efficient Tuning with Kronecker Adapter
Fine-tuning a Pre-trained Language Model (PLM) on a specific downstream ...
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10/27/2022
Predicting Visual Attention and Distraction During Visual Search Using Convolutional Neural Networks
Most studies in computational modeling of visual attention encompass tas...
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10/24/2022
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction
Many online action prediction models observe complete frames to locate a...
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10/03/2022
Immunological Approaches to Load Balancing in MIMD Systems
Effective utilization of Multiple-Instruction-Multiple-Data (MIMD) paral...
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09/28/2022
Target Features Affect Visual Search, A Study of Eye Fixations
Visual Search is referred to the task of finding a target object among a...
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09/15/2022
CES-KD: Curriculum-based Expert Selection for Guided Knowledge Distillation
Knowledge distillation (KD) is an effective tool for compressing deep cl...
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08/03/2022
Efficient Fine-Tuning of Compressed Language Models with Learners
Fine-tuning BERT-based models is resource-intensive in memory, computati...
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07/05/2022
Clustered Saliency Prediction
We present a new method for image salience prediction, Clustered Salienc...
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05/03/2022
Efficient Fine-Tuning of BERT Models on the Edge
Resource-constrained devices are increasingly the deployment targets of ...
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04/01/2022
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes
Most hard attention models initially observe a complete scene to locate ...
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02/24/2022
Standard Deviation-Based Quantization for Deep Neural Networks
Quantization of deep neural networks is a promising approach that reduce...
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11/15/2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
A visual hard attention model actively selects and observes a sequence o...
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10/15/2021
Kronecker Decomposition for GPT Compression
GPT is an auto-regressive Transformer-based pre-trained language model w...
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04/01/2021
Visual Attention in Imaginative Agents
We present a recurrent agent who perceives surroundings through a series...
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03/30/2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Segmentation of enhancing tumours or lesions from MRI is important for d...
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09/29/2020
Deep discriminant analysis for task-dependent compact network search
Most of today's popular deep architectures are hand-engineered for gener...
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04/10/2019
Instance Segmentation based Semantic Matting for Compositing Applications
Image compositing is a key step in film making and image editing that ai...
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03/21/2018
Fisher Pruning of Deep Nets for Facial Trait Classification
Although deep nets have resulted in high accuracies for various visual t...
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11/21/2017
Personalization of Saliency Estimation
Most existing saliency models use low-level features or task description...
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11/21/2017
WAYLA - Generating Images from Eye Movements
We present a method for reconstructing images viewed by observers based ...
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09/01/2016