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Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
Designing deep learning-based solutions is becoming a race for training ...
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Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks
Existing deep learning approaches for learning visual features tend to o...
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"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets
For an unknown (new) classification dataset, choosing an appropriate dee...
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AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework
Generative models are becoming increasingly popular in the literature, w...
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Coverage Testing of Deep Learning Models using Dataset Characterization
Deep Neural Networks (DNNs), with its promising performance, are being i...
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A Visual Programming Paradigm for Abstract Deep Learning Model Development
Deep learning is one of the fastest growing technologies in computer sci...
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On Matching Faces with Alterations due to Plastic Surgery and Disguise
Plastic surgery and disguise variations are two of the most challenging ...
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Explaining Deep Learning Models using Causal Inference
Although deep learning models have been successfully applied to a variet...
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DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
For a given software bug report, identifying an appropriate developer wh...
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Sanskrit Sandhi Splitting using seq2(seq)^2
In Sanskrit, small words (morphemes) are combined through a morphophonol...
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DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
With an abundance of research papers in deep learning, reproducibility o...
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Hi, how can I help you?: Automating enterprise IT support help desks
Question answering is one of the primary challenges of natural language ...
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"Let me convince you to buy my product ... ": A Case Study of an Automated Persuasive System for Fashion Products
Persuasivenes is a creative art aimed at making people believe in certai...
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mAnI: Movie Amalgamation using Neural Imitation
Cross-modal data retrieval has been the basis of various creative tasks ...
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DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models
Traditional software engineering programming paradigms are mostly object...
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