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05/21/2023
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data
The convergence of text, visual, and audio data is a key step towards hu...
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05/03/2022
i-Code: An Integrative and Composable Multimodal Learning Framework
Human intelligence is multimodal; we integrate visual, linguistic, and a...
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12/10/2021
Sequence-level self-learning with multiple hypotheses
In this work, we develop new self-learning techniques with an attention-...
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12/10/2021
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition
The sparsely-gated Mixture of Experts (MoE) can magnify a network capaci...
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06/14/2021
Dynamic Gradient Aggregation for Federated Domain Adaptation
In this paper, a new learning algorithm for Federated Learning (FL) is i...
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08/06/2020
Federated Transfer Learning with Dynamic Gradient Aggregation
In this paper, a Federated Learning (FL) simulation platform is introduc...
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06/12/2020
Sleeping is Efficient: MIS in O(1)-rounds Node-averaged Awake Complexity
Maximal Independent Set (MIS) is one of the fundamental problems in dist...
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01/03/2020
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
Text summarization aims to extract essential information from a piece of...
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12/25/2019
Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization
Lead bias is a common phenomenon in news summarization, where early part...
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10/15/2018
CADbots: Algorithmic Aspects of Manipulating Programmable Matter with Finite Automata
We contribute results for a set of fundamental problems in the context o...
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10/08/2018
Time-Message Trade-Offs in Distributed Algorithms
This paper focuses on showing time-message trade-offs in distributed alg...
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05/18/2018
Distributed Computation in the Node-Congested Clique
The Congested Clique model of distributed computing, which was introduce...
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05/16/2018
