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Correctional Learning Dataset
The dataset used in the paper is a discrete system with a limited budget for correctional learning. -
TimeIT: A Video-Centric Instruction-Tuning Dataset
TimeIT is a video-centric instruction-tuning dataset designed for instruction tuning. It is composed of 6 diverse tasks, 12 widely-used academic benchmarks, and a total of 125K... -
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Und...
TimeChat is a time-sensitive multimodal large language model specifically designed for long video understanding. It incorporates two key architectural contributions: a... -
ADC2021 dataset
The ADC2021 dataset is a collection of proton-proton collisions at the LHC, simulated at center-of-mass energy of 13 TeV. -
Quantum Neural Networks
The dataset used in this paper is a collection of quantum neural network models, including VQA, CV, swap test and phase estimation, RUS, quantum generalization, QBM, QCVNN,... -
XOR-ATTRIQA
The XOR-ATTRIQA dataset is a classification task where model is asked to predict whether the provided answer to the question is supported by the given passage context, which... -
Streaming end-to-end bilingual ASR systems with joint language identification
Multilingual ASR technology simplifies model training and deployment, but its accuracy is known to depend on the availability of language information at runtime. -
EEG Speech Features Dataset
The dataset used in the study to analyze the performance of an LSTM-based model using different levels of speech features. -
Self-Imagine
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used three mathematics tasks (GSM8K, ASDIV, and SVAMP) and nine general-purpose... -
End-to-end learning potentials for structured attribute prediction
Structured inference approach for multiple attribute prediction -
Stanford Human Preferences (SHP)
The Stanford Human Preferences (SHP) dataset is sourced from Reddit with various subreddits that focus on QA. Preferences have been extracted from the accumulated up- and... -
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time
A dataset of 250 colonoscopy procedures (videos) with annotations of gaps with deficient local coverage. -
Detecting Out-of-Distribution Inputs in Deep Neural Networks
The dataset used in the paper is a low- and high-dimensional datasets and deep models. -
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
Personalized Federated Learning with Dynamic Weight Adjustment -
Optimal Allocation of ESSs in Active Distribution Networks
The dataset used in this paper is a Swiss distribution network with 55 buses and large capacity of renewable generation.
