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05/04/2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Recent AI-assistant agents, such as ChatGPT, predominantly rely on super...
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02/12/2023
Rapid Development of Compositional AI
Compositional AI systems, which combine multiple artificial intelligence...
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11/17/2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
Recently, large-scale pre-trained Vision-and-Language (VL) foundation mo...
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05/31/2022
VALHALLA: Visual Hallucination for Machine Translation
Designing better machine translation systems by considering auxiliary in...
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10/26/2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Deep Neural Networks (DNNs) are known to be vulnerable to adversarial at...
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10/04/2021
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis
Are end-to-end text-to-speech (TTS) models over-parametrized? To what ex...
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06/16/2021
Global Rhythm Style Transfer Without Text Transcriptions
Prosody plays an important role in characterizing the style of a speaker...
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06/11/2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
While maximizing deep neural networks' (DNNs') acceleration efficiency r...
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06/10/2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Recent work on speech self-supervised learning (speech SSL) demonstrated...
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09/02/2020
Lifelong Object Detection
Recent advances in object detection have benefited significantly from ra...
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07/09/2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal p...
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04/23/2020
Unsupervised Speech Decomposition via Triple Information Bottleneck
Speech information can be roughly decomposed into four components: langu...
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12/02/2019
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Current state-of-the-art models for video action recognition are mostly ...
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10/25/2019
Self-supervised Moving Vehicle Tracking with Stereo Sound
Humans are able to localize objects in the environment using both visual...
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10/15/2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
The adaptive momentum method (AdaMM), which uses past gradients to updat...
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07/21/2018
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Deep learning approaches to breast cancer detection in mammograms have r...
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05/28/2018
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
While deep neural networks take loose inspiration from neuroscience, it ...
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02/15/2018
Input-Aware Auto-Tuning of Compute-Bound HPC Kernels
Efficient implementations of HPC applications for parallel architectures...
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07/21/2017
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification
Screening mammography is an important front-line tool for the early dete...
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06/07/2017
Recurrent computations for visual pattern completion
Making inferences from partial information constitutes a critical aspect...
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03/16/2017
Using Human Brain Activity to Guide Machine Learning
Machine learning is a field of computer science that builds algorithms t...
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10/31/2016
Tensor Switching Networks
We present a novel neural network algorithm, the Tensor Switching (TS) n...
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08/08/2016
Syntactically Informed Text Compression with Recurrent Neural Networks
We present a self-contained system for constructing natural language mod...
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08/08/2016
Delta Epsilon Alpha Star: A PAC-Admissible Search Algorithm
Delta Epsilon Alpha Star is a minimal coverage, real-time robotic search...
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05/25/2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
While great strides have been made in using deep learning algorithms to ...
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11/19/2015