Zhiheng Huang | DeepAI

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Dan Roth
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Peng Xu
128 publications
Li Fei-Fei
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Hao Su
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Zachary C Lipton
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Kai Yu
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George Karypis
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∙ 09/10/2023

Personalized Search Via Neural Contextual Semantic Relevance Ranking

Existing neural relevance models do not give enough consideration for qu...

0 Deguang Kong, et al. ∙

∙ 02/13/2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark

We introduce STREET, a unified multi-task and multi-domain natural langu...

0 Danilo Ribeiro, et al. ∙

∙ 12/19/2022

Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks

Generative models have been widely applied to solve extractive tasks, wh...

0 Kaiser Sun, et al. ∙

∙ 12/17/2022

Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations

There has been great progress in unifying various table-to-text tasks us...

0 Jifan Chen, et al. ∙

∙ 10/12/2022

Language Agnostic Multilingual Information Retrieval with Contrastive Learning

Multilingual information retrieval is challenging due to the lack of tra...

0 Xiyang Hu, et al. ∙

∙ 05/18/2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner

Large language models have achieved high performance on various question...

0 Danilo Ribeiro, et al. ∙

∙ 10/20/2021

Contrastive Document Representation Learning with Graph Attention Networks

Recent progress in pretrained Transformer-based language models has show...

0 Peng Xu, et al. ∙

∙ 10/12/2021

Attention-guided Generative Models for Extractive Question Answering

We propose a novel method for applying Transformer models to extractive ...

13 Peng Xu, et al. ∙

∙ 09/27/2021

Multiplicative Position-aware Transformer Models for Language Understanding

Transformer models, which leverage architectural improvements like self-...

6 Zhiheng Huang, et al. ∙

∙ 10/06/2020

Beyond [CLS] through Ranking by Generation

Generative models for Information Retrieval, where ranking of documents ...

0 Cicero Nogueira dos Santos, et al. ∙

∙ 09/28/2020

Improve Transformer Models with Better Relative Position Embeddings

Transformer architectures rely on explicit position encodings in order t...

0 Zhiheng Huang, et al. ∙

∙ 09/22/2020

Embedding-based Zero-shot Retrieval through Query Generation

Passage retrieval addresses the problem of locating relevant passages, u...

0 Davis Liang, et al. ∙

∙ 03/16/2020

TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding

Bidirectional Encoder Representations from Transformers (BERT) has recen...

0 Zhiheng Huang, et al. ∙

∙ 04/08/2019

WeNet: Weighted Networks for Recurrent Network Architecture Search

In recent years, there has been increasing demand for automatic architec...

0 Zhiheng Huang, et al. ∙

∙ 01/22/2019

Self-Attention Networks for Connectionist Temporal Classification in Speech Recognition

Self-attention has demonstrated great success in sequence-to-sequence ta...

0 Julian Salazar, et al. ∙

∙ 07/17/2018

Learning Noise-Invariant Representations for Robust Speech Recognition

Despite rapid advances in speech recognition, current models remain brit...

0 Davis Liang, et al. ∙

∙ 02/24/2017

Residual Convolutional CTC Networks for Automatic Speech Recognition

Deep learning approaches have been widely used in Automatic Speech Recog...

0 Yisen Wang, et al. ∙

∙ 04/15/2016

CNN-RNN: A Unified Framework for Multi-label Image Classification

While deep convolutional neural networks (CNNs) have shown a great succe...

0 Jiang Wang, et al. ∙

∙ 08/09/2015

Bidirectional LSTM-CRF Models for Sequence Tagging

In this paper, we propose a variety of Long Short-Term Memory (LSTM) bas...

0 Zhiheng Huang, et al. ∙

∙ 04/25/2015

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images

In this paper, we address the task of learning novel visual concepts, an...

0 Junhua Mao, et al. ∙

∙ 12/20/2014

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

In this paper, we present a multimodal Recurrent Neural Network (m-RNN) ...

0 Junhua Mao, et al. ∙

∙ 09/01/2014

ImageNet Large Scale Visual Recognition Challenge

The ImageNet Large Scale Visual Recognition Challenge is a benchmark in ...

0 Olga Russakovsky, et al. ∙

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