Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis
Deep learning (DL) algorithms are considered as a methodology of choice for remote-
sensing image analysis over the past few years. Due to its effective applications, deep …
sensing image analysis over the past few years. Due to its effective applications, deep …
MultiQA: An empirical investigation of generalization and transfer in reading comprehension
A large number of reading comprehension (RC) datasets has been created recently, but little
analysis has been done on whether they generalize to one another, and the extent to which …
analysis has been done on whether they generalize to one another, and the extent to which …
Speech2vec: A sequence-to-sequence framework for learning word embeddings from speech
In this paper, we propose a novel deep neural network architecture, Speech2Vec, for
learning fixed-length vector representations of audio segments excised from a speech …
learning fixed-length vector representations of audio segments excised from a speech …
Pair programming conversations with agents vs. developers: challenges and opportunities for SE community
P Robe, SK Kuttal, J AuBuchon, J Hart - … of the 30th ACM Joint European …, 2022 - dl.acm.org
Recent research has shown feasibility of an interactive pair-programming conversational
agent, but implementing such an agent poses three challenges: a lack of benchmark …
agent, but implementing such an agent poses three challenges: a lack of benchmark …
Improving machine reading comprehension with general reading strategies
Reading strategies have been shown to improve comprehension levels, especially for
readers lacking adequate prior knowledge. Just as the process of knowledge accumulation …
readers lacking adequate prior knowledge. Just as the process of knowledge accumulation …
Template-based question generation from retrieved sentences for improved unsupervised question answering
Question Answering (QA) is in increasing demand as the amount of information available
online and the desire for quick access to this content grows. A common approach to QA has …
online and the desire for quick access to this content grows. A common approach to QA has …
L-eval: Instituting standardized evaluation for long context language models
Recently, there has been growing interest in extending the context length of large language
models (LLMs), aiming to effectively process long inputs of one turn or conversations with …
models (LLMs), aiming to effectively process long inputs of one turn or conversations with …
Efficiently fusing pretrained acoustic and linguistic encoders for low-resource speech recognition
C Yi, S Zhou, B Xu - IEEE Signal Processing Letters, 2021 - ieeexplore.ieee.org
End-to-end models have achieved impressive results on the task of automatic speech
recognition (ASR). For low-resource ASR tasks, however, labeled data can hardly satisfy the …
recognition (ASR). For low-resource ASR tasks, however, labeled data can hardly satisfy the …
Mmm: Multi-stage multi-task learning for multi-choice reading comprehension
Abstract Machine Reading Comprehension (MRC) for question answering (QA), which aims
to answer a question given the relevant context passages, is an important way to test the …
to answer a question given the relevant context passages, is an important way to test the …
Adversarial domain adaptation for machine reading comprehension
In this paper, we focus on unsupervised domain adaptation for Machine Reading
Comprehension (MRC), where the source domain has a large amount of labeled data, while …
Comprehension (MRC), where the source domain has a large amount of labeled data, while …