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09/10/2022
OmDet: Language-Aware Object Detection with Large-scale Vision-Language Multi-dataset Pre-training
Advancing object detection to open-vocabulary and few-shot transfer has ...
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07/01/2022
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations
Vision-Language Pretraining (VLP) models have recently successfully faci...
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03/09/2021
When is it permissible for artificial intelligence to lie? A trust-based approach
Conversational Artificial Intelligence (AI) used in industry settings ca...
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01/06/2021
SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering
Although open-domain question answering (QA) draws great attention in re...
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01/01/2021
VisualSparta: Sparse Transformer Fragment-level Matching for Large-scale Text-to-Image Search
Text-to-image retrieval is an essential task in multi-modal information ...
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09/28/2020
SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval
We introduce SPARTA, a novel neural retrieval method that shows great pr...
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04/04/2020
Talk to Papers: Bringing Neural Question Answering to Academic Search
We introduce Talk to Papers, which exploits the recent open-domain quest...
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04/22/2018
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
The encoder-decoder dialog model is one of the most prominent methods us...
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06/26/2017
Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability
Generative encoder-decoder models offer great promise in developing doma...
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06/08/2016
