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09/11/2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
We present SHIFT3D, a differentiable pipeline for generating 3D shapes t...
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08/24/2023
NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects
We propose a novel-view augmentation (NOVA) strategy to train NeRFs for ...
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10/24/2022
I see what you hear: a vision-inspired method to localize words
This paper explores the possibility of using visual object detection tec...
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10/21/2021
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
With recent advances in speech synthesis, synthetic data is becoming a v...
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10/06/2021
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Controllable generative sequence models with the capability to extract a...
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07/08/2021
CANDLE: Decomposing Conditional and Conjunctive Queries for Task-Oriented Dialogue Systems
Domain-specific dialogue systems generally determine user intents by rel...
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02/26/2021
SLAP: A Split Latency Adaptive VLIW pipeline architecture which enables on-the-fly variable SIMD vector-length
Over the last decade the relative latency of access to shared memory by ...
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12/04/2020
Towards a Domain Specific Solution for a New Generation of Wireless Modems
Wireless cellular System on Chip (SoC) are experiencing unprecedented de...
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12/03/2020
Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries
Despite end-to-end neural systems making significant progress in the las...
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11/02/2020
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation
Data augmentation methods usually apply the same augmentation (or a mix ...
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11/02/2020
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric
Deep Neural Network–Hidden Markov Model (DNN-HMM) based methods have bee...
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03/09/2020
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis
We present a method to generate speech from input text and a style vecto...
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02/19/2018
Divide, Denoise, and Defend against Adversarial Attacks
Deep neural networks, although shown to be a successful class of machine...
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12/22/2016
