What do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure
Transformer models across multiple domains such as natural language processing and speech form an unavoidable part of the tech stack of …
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Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems
We propose a theoretical framework for approximate planning and learning in partially observed systems. Our framework is based on the …
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Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and …
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CoSe-Co: Text Conditioned Generative CommonSense Contextualizer
Pre-trained Language Models (PTLMs) have been shown to perform well on natural language tasks. Many prior works have leveraged …
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CyCLIP: Cyclic Contrastive Language-Image Pretraining
Recent advances in contrastive representation learning over paired image-text data have led to models such as CLIP that achieve …
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Data Instance Prior for Transfer Learning in GANs
Recent advances in generative adversarial networks (GANs) have shown remarkable progress in generating high-quality images. However, …
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DynamicTOC: Persona-based Table of Contents for Consumption of Long Documents
Long documents like contracts, financial documents, etc., are often tedious to read through. Linearly consuming (via scrolling or …
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DynamicTOC: Persona-based Table of Contents for Consumption of Long Documents
Harmonized Banner Creation from Multimodal Design Assets
Designing aesthetically pleasing single-page graphic designs (”banners”) that appeal to the target recipients is non-trivial and …
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Harmonized Banner Creation from Multimodal Design Assets
LM-CORE: Language Models with Contextually Relevant External Knowledge
Large transformer-based pre-trained language models have achieved impressive performance on a variety of knowledge-intensive tasks and …
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Minimal: Mining Models for Universal Adversarial Triggers
It is well known that natural language models are vulnerable to adversarial attacks, which are mostly input-specific in nature. …
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Minimal: Mining Models for Universal Adversarial Triggers