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Nutribullets Hybrid: Multi-document Health Summarization
We present a method for generating comparative summaries that highlights...
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Nutri-bullets: Summarizing Health Studies by Composing Segments
We introduce Nutri-bullets, a multi-document summarization task for heal...
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When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
Large language models have become increasingly difficult to train becaus...
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Medical Image Segmentation Using Deep Learning: A Survey
Deep learning has been widely used for medical image segmentation and a ...
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Autoregressive Knowledge Distillation through Imitation Learning
The performance of autoregressive models on natural language generation ...
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Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
Selecting input features of top relevance has become a popular method fo...
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ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition
In this paper we present state-of-the-art (SOTA) performance on the Libr...
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Interactive Classification by Asking Informative Questions
Natural language systems often rely on a single, potentially ambiguous i...
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Metric Learning for Dynamic Text Classification
Traditional text classifiers are limited to predicting over a fixed set ...
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Structured Pruning of Large Language Models
Large language models have recently achieved state of the art performanc...
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Building a Production Model for Retrieval-Based Chatbots
Response suggestion is an important task for building human-computer con...
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Adaptive Morphological Reconstruction for Seeded Image Segmentation
Morphological reconstruction (MR) is often employed by seeded image segm...
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Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment
An edge computing environment features multiple edge servers and multipl...
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Adversarial Domain Adaptation for Duplicate Question Detection
We address the problem of detecting duplicate questions in forums, which...
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Training RNNs as Fast as CNNs
Common recurrent neural network architectures scale poorly due to the in...
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Style Transfer from Non-Parallel Text by Cross-Alignment
This paper focuses on style transfer on the basis of non-parallel text. ...
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Deriving Neural Architectures from Sequence and Graph Kernels
The design of neural architectures for structured objects is typically g...
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Rationalizing Neural Predictions
Prediction without justification has limited applicability. As a remedy,...
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Semi-supervised Question Retrieval with Gated Convolutions
Question answering forums are rapidly growing in size with no effective ...
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Molding CNNs for text: non-linear, non-consecutive convolutions
The success of deep learning often derives from well-chosen operational ...
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