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09/20/2023
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables
Question answering on tabular data (a.k.a TableQA), which aims at genera...
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09/20/2023
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
Named Entity Recognition (NER) aims to extract and classify entity menti...
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08/18/2023
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
The key to the success of few-shot segmentation (FSS) lies in how to eff...
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07/29/2023
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce
Position bias, the phenomenon whereby users tend to focus on higher-rank...
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05/24/2023
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations
Abductive reasoning aims to find plausible explanations for an event. Th...
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05/23/2023
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision
Explainable multi-hop question answering (QA) not only predicts answers ...
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01/05/2023
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning
Dynamically typed languages such as Python have become very popular. Amo...
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05/04/2022
Compositional Task-Oriented Parsing as Abstractive Question Answering
Task-oriented parsing (TOP) aims to convert natural language into machin...
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03/01/2022
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots
Few-shot table-to-text generation is a task of composing fluent and fait...
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03/01/2022
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors
Multimodal sentiment analysis has attracted increasing attention and lot...
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08/21/2021
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning
Crystal-structure phase mapping is a core, long-standing challenge in ma...
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03/09/2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
Understanding how environmental characteristics affect bio-diversity pat...
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02/16/2021
Evaluating Multi-label Classifiers with Noisy Labels
Multi-label classification (MLC) is a generalization of standard classif...
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02/05/2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems
There has been an increasing interest in harnessing deep learning to tac...
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01/22/2021
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation
The non-autoregressive models have boosted the efficiency of neural mach...
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08/20/2020
Co-Saliency Detection with Co-Attention Fully Convolutional Network
Co-saliency detection aims to detect common salient objects from a group...
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06/03/2019
Deep Reasoning Networks: Thinking Fast and Slow
We introduce Deep Reasoning Networks (DRNets), an end-to-end framework t...
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07/07/2018
