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08/29/2023
Robust Transceiver Design for Covert Integrated Sensing and Communications With Imperfect CSI
We propose a robust transceiver design for a covert integrated sensing a...
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07/18/2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
In this work, we develop and release Llama 2, a collection of pretrained...
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07/05/2023
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
Recent advancements in Large Language Models (LLMs) such as GPT4 have di...
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05/28/2023
Rethinking Masked Language Modeling for Chinese Spelling Correction
In this paper, we study Chinese Spelling Correction (CSC) as a joint dec...
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04/27/2023
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net
Atrial fibrillation (AF) is the most common cardiac arrhythmia. Accurate...
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04/19/2023
A Theory on Adam Instability in Large-Scale Machine Learning
We present a theory for the previously unexplained divergent behavior no...
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03/16/2023
Visual Information Matters for ASR Error Correction
Aiming to improve the Automatic Speech Recognition (ASR) outputs with a ...
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12/21/2022
Mining User-aware Multi-Relations for Fake News Detection in Large Scale Online Social Networks
Users' involvement in creating and propagating news is a vital aspect of...
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12/16/2022
LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension
The application of Natural Language Processing (NLP) to specialized doma...
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11/10/2022
Decomposing the Fundamentals of Creepy Stories
Fear is a universal concept; people crave it in urban legends, scary mov...
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10/13/2022
Transfer Deep Reinforcement Learning-based Large-scale V2G Continuous Charging Coordination with Renewable Energy Sources
Due to the increasing popularity of electric vehicles (EVs) and the tech...
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03/14/2022
Building Embedded Systems Like It's 1996
Embedded devices are ubiquitous. However, preliminary evidence shows tha...
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12/03/2021
The Influence of Data Pre-processing and Post-processing on Long Document Summarization
Long document summarization is an important and hard task in the field o...
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10/06/2021
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Dimensionality Reduction (DR) techniques can generate 2D projections and...
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09/24/2020
Task-Oriented Dialogue as Dataflow Synthesis
We describe an approach to task-oriented dialogue in which dialogue stat...
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08/14/2020
On Localized Discrepancy for Domain Adaptation
We propose the discrepancy-based generalization theories for unsupervise...
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07/27/2019
HPC AI500: A Benchmark Suite for HPC AI Systems
In recent years, with the trend of applying deep learning (DL) in high p...
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04/11/2019
Bridging Theory and Algorithm for Domain Adaptation
This paper addresses the problem of unsupervised domain adaption from th...
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03/25/2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization
Adversarial perturbations dramatically decrease the accuracy of state-of...
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09/02/2018
Neural Ranking Models for Temporal Dependency Structure Parsing
We design and build the first neural temporal dependency parser. It util...
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08/23/2018
Structured Interpretation of Temporal Relations
Temporal relations between events and time expressions in a document are...
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07/25/2017
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
To learn a semantic parser from denotations, a learning algorithm must s...
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02/18/2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
We study the Stochastic Gradient Langevin Dynamics (SGLD) algorithm for ...
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09/04/2016
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
We provide two fundamental results on the population (infinite-sample) l...
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03/11/2015
Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators
For the problem of high-dimensional sparse linear regression, it is know...
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02/05/2015
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds
We study the following generalized matrix rank estimation problem: given...
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01/01/2015
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss
We consider distributed convex optimization problems originated from sam...
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05/22/2013
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
We establish optimal convergence rates for a decomposition-based scalabl...
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09/19/2012