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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...
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12/21/2022
Learning List-Level Domain-Invariant Representations for Ranking
Domain adaptation aims to transfer the knowledge acquired by models trai...
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12/20/2022
HYRR: Hybrid Infused Reranking for Passage Retrieval
We present Hybrid Infused Reranking for Passages Retrieval (HYRR), a fra...
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11/15/2022
QAmeleon: Multilingual QA with Only 5 Examples
The availability of large, high-quality datasets has been one of the mai...
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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...
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09/23/2022
Promptagator: Few-shot Dense Retrieval From 8 Examples
Much recent research on information retrieval has focused on how to tran...
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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...
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12/15/2021
Large Dual Encoders Are Generalizable Retrievers
It has been shown that dual encoders trained on one domain often fail to...
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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...
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06/30/2021
Distributed Nash Equilibrium Seeking under Quantization Communication
This paper investigates Nash equilibrium (NE) seeking problems for nonco...
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10/23/2020
Neural Passage Retrieval with Improved Negative Contrast
In this paper we explore the effects of negative sampling in dual encode...
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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...
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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...
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04/23/2020
QURIOUS: Question Generation Pretraining for Text Generation
Recent trends in natural language processing using pretraining have shif...
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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...
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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...
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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...
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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...
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08/01/2017
Natural Language Processing with Small Feed-Forward Networks
We show that small and shallow feed-forward neural networks can achieve ...
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03/15/2017