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07/19/2023
Gradient Sparsification For Masked Fine-Tuning of Transformers
Fine-tuning pretrained self-supervised language models is widely adopted...
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07/18/2023
Attention over pre-trained Sentence Embeddings for Long Document Classification
Despite being the current de-facto models in most NLP tasks, transformer...
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07/18/2023
AI-assisted Improved Service Provisioning for Low-latency XR over 5G NR
Extended Reality (XR) is one of the most important 5G/6G media applicati...
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07/12/2023
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models
We investigate the effects of post-training quantization and quantizatio...
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11/07/2022
AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis
Aspect Based Sentiment Analysis is a dominant research area with potenti...
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08/19/2022
ACO based Adaptive RBFN Control for Robot Manipulators
This paper describes a new approach for approximating the inverse kinema...
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04/04/2022
Aligned Weight Regularizers for Pruning Pretrained Neural Networks
While various avenues of research have been explored for iterative pruni...
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09/30/2021
Deep Neural Compression Via Concurrent Pruning and Self-Distillation
Pruning aims to reduce the number of parameters while maintaining perfor...
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09/29/2021
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT
We describe the EdinSaar submission to the shared task of Multilingual L...
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08/23/2021
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval
Frequently-Asked-Question (FAQ) retrieval provides an effective procedur...
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08/18/2021
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality
Approximate subgraph matching, which is an important primitive for many ...
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07/06/2021
Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs
Model reduction for fluid flow simulation continues to be of great inter...
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02/20/2021
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference
Many real-world mission-critical applications require continual online l...
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11/26/2020
Unsupervised Word Translation Pairing using Refinement based Point Set Registration
Cross-lingual alignment of word embeddings play an important role in kno...
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07/29/2020
Predictive Probability Path Planning Model For Dynamic Environments
Path planning in dynamic environments is essential to high-risk applicat...
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01/27/2020
Towards Quantifying the Distance between Opinions
Increasingly, critical decisions in public policy, governance, and busin...
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01/05/2020
Learning fine-grained search space pruning and heuristics for combinatorial optimization
Combinatorial optimization problems arise in a wide range of application...
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10/27/2019
Inherent Weight Normalization in Stochastic Neural Networks
Multiplicative stochasticity such as Dropout improves the robustness and...
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10/14/2019
Whatcha lookin' at? DeepLIFTing BERT's Attention in Question Answering
There has been great success recently in tackling challenging NLP tasks ...
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10/14/2019
Mapping Supervised Bilingual Word Embeddings from English to low-resource languages
It is very challenging to work with low-resource languages due to the in...
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09/24/2019
Protocol design for energy efficient OLT transmitter in TWDM-PON guaranteeing SLA of up-stream and down-stream traffic
Environmental and economic concerns promote research on designing energy...
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09/12/2019
Learning Multi-Stage Sparsification for Maximum Clique Enumeration
We propose a multi-stage learning approach for pruning the search space ...
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02/22/2019
Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems
We propose a simple, powerful, and flexible machine learning framework f...
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02/11/2019
A 1-approximation algorithm for energy-efficient TDM-PON guaranteeing SLA of up-stream and down-stream traffic
Economical and environmental concerns necessitate research on designing ...
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12/20/2018
Design of Energy-efficient EPON: a Novel Protocol Proposal and its Performance Analysis
Economical and environmental concerns necessitate network engineers to f...
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05/07/2017