Ji Ma | DeepAI

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76 publications
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Jing Lu
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∙ 06/10/2023

Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments

Target tracking with a mobile robot has numerous significant application...

0 Han Gao, et al. ∙

∙ 12/21/2022

Learning List-Level Domain-Invariant Representations for Ranking

Domain adaptation aims to transfer the knowledge acquired by models trai...

0 Ruicheng Xian, et al. ∙

∙ 12/20/2022

HYRR: Hybrid Infused Reranking for Passage Retrieval

We present Hybrid Infused Reranking for Passages Retrieval (HYRR), a fra...

0 Jing Lu, et al. ∙

∙ 11/15/2022

QAmeleon: Multilingual QA with Only 5 Examples

The availability of large, high-quality datasets has been one of the mai...

0 Priyanka Agrawal, et al. ∙

∙ 10/12/2022

RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses

Recently, substantial progress has been made in text ranking based on pr...

0 Honglei Zhuang, et al. ∙

∙ 09/23/2022

Promptagator: Few-shot Dense Retrieval From 8 Examples

Much recent research on information retrieval has focused on how to tran...

0 Zhuyun Dai, et al. ∙

∙ 04/25/2022

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference

State-of-the-art neural models typically encode document-query pairs usi...

3 Kai Hui, et al. ∙

∙ 12/15/2021

Large Dual Encoders Are Generalizable Retrievers

It has been shown that dual encoders trained on one domain often fail to...

0 Jianmo Ni, et al. ∙

∙ 08/19/2021

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

We provide the first exploration of text-to-text transformers (T5) sente...

4 Jianmo Ni, et al. ∙

∙ 06/30/2021

Distributed Nash Equilibrium Seeking under Quantization Communication

This paper investigates Nash equilibrium (NE) seeking problems for nonco...

0 Ziqin Chen, et al. ∙

∙ 10/23/2020

Neural Passage Retrieval with Improved Negative Contrast

In this paper we explore the effects of negative sampling in dual encode...

0 Jing Lu, et al. ∙

∙ 10/01/2020

RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble

In this paper, we report the results of our participation in the TREC-CO...

0 Michael Bendersky, et al. ∙

∙ 04/29/2020

Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation

Deep neural scoring models have recently been shown to improve ranking q...

0 Ji Ma, et al. ∙

∙ 04/23/2020

QURIOUS: Question Generation Pretraining for Text Generation

Recent trends in natural language processing using pretraining have shif...

0 Shashi Narayan, et al. ∙

∙ 06/28/2019

The Practical Challenges of Active Learning: Lessons Learned from Live Experimentation

We tested in a live setting the use of active learning for selecting tex...

0 Jean-François Kagy, et al. ∙

∙ 02/04/2019

Autonomous Tissue Manipulation via Surgical Robot Using Learning Based Model Predictive Control

Tissue manipulation is a frequently used fundamental subtask of any surg...

0 Changyeob Shin, et al. ∙

∙ 02/04/2019

Learning Soft Tissue Dynamics in Image Space for Automated Bimanual Tissue Manipulation with Surgical Robots

In this paper, reinforcement learning and learning from demonstration in...

0 Changyeob Shin, et al. ∙

∙ 08/20/2018

State-of-the-art Chinese Word Segmentation with Bi-LSTMs

A wide variety of neural-network architectures have been proposed for th...

0 Ji Ma, et al. ∙

∙ 08/01/2017

Natural Language Processing with Small Feed-Forward Networks

We show that small and shallow feed-forward neural networks can achieve ...

0 Jan A. Botha, et al. ∙

∙ 03/15/2017

SyntaxNet Models for the CoNLL 2017 Shared Task

We describe a baseline dependency parsing system for the CoNLL2017 Share...

0 Chris Alberti, et al. ∙

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