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Dataset results
10 results for “knowledge distillation”
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair (Dataset)
<p>This is the training dataset used in the paper KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair (Dataset)</p>
CAKE: clustering scRNA-seq data via combining contrastive learning with knowledge distillation
<p>All datasets used in our paper "<strong>CAKE: clustering scRNA-seq data via combining contrastive learning with knowledge distillation"</strong></p>
DeepLNE++ leveraging knowledge distillation for accelerated multi-state path-like collective variables
<p>Supporting data related to manuscript 'DeepLNE++ leveraging knowledge distillation for accelerated multi-state path-like collective variables'</p>
A federated learning framework based on transfer learning and knowledge distillation for targeted advertising-Click-Through Rate Prediction Dataset
<p>https://www.kaggle.com/c/avazu-ctr-prediction</p>
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
<p>Teacher train files (ids only), based on the MSMARCO-Passage collection, for the paper: </p> <p><em>Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation</em> Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan and Allan Hanbury (<a href="https://arxiv.org/abs/2010.02666">https://arxiv.org/abs/2010.02666</a>)</p> <p>for the documentation please see: https://github.com/sebastian-hofstaetter/neural-ranking-kd</p>
About epiTCR-KDA: Knowledge Distillation model on Dihedral Angles for TCR-peptide prediction
Open the record for dataset details and reuse information.
Uncertainty-aware genomic deep learning with knowledge distillation
Open the record for dataset details and reuse information.
Supplementary Material for Paper "Distilling Event Sequence Knowledge From Large Language Models"
<p>Supplementary Material for Paper:<br>Distilling Event Sequence Knowledge From Large Language Models<br>Somin Wadhwa, Oktie Hassanzadeh, Debarun Bhattacharjya, Ken Barker, and Jian Ni</p> <p>Appendix:<br>- <code>Appendix.pdf</code>: contains our prompts and a description of our human evaluation details.</p> <p>Data:<br>- <code>base_kg_v7.jsonl</code>: Our Wikidata-based Event Causal Knowledge Graph.</p> <p>Outputs:<br>- <code>sample_new_patterns_discovered.txt</code>: examples of observed new patters through application of sequential pattern mining algorithms, described in section 3.<br>- <code>precision_eval_sample.txt:</code> examples of output evaluated with a precision-evaluator model. <br>- <code>bsumm_output.txt</code>: sample outputs of identified influencing events through the application of binary summary markov model, described in section 5.2.</p> <p>Code:<br>- <code>src/generator.py</code>: ingests ICL prompts and generates requisite event sequences.<br>- <code>src/benchmarking.py</code>: ingests a _trained_ Flan-style seq2seq model to evaluate precision, and recall from the base KG.<br>- <code>src/utils.py</code>: utilities for generator and benchmarking.</p> <p>To cite:</p> <pre><code>@inproceedings{WadhwaHBBN24, author = {Somin Wadhwa and Oktie Hassanzadeh and Debarun Bhattacharjya and Ken Barker and Jian Ni}, title = {Distilling Event Sequence Knowledge From Large Language Models}, booktitle = {The Semantic Web - 23rd International Conference, {ISWC} 2024}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, year = {2024}, }</code></pre>
A federated learning framework based on transfer learning and knowledge distillation for targeted advertising-Ad Display/Click Data on Taobao.com dataset
<p>https://tianchi.aliyun.com/dataset/56</p>
A lightweight speech recognition method with target-swap knowledge distillation for Mandarin air traffic control communications
<p>Mandarin air traffic control communications (ATCC) dataset for the paper "A lightweight speech recognition method with target-swap knowledge distillation for Mandarin air traffic control communications".</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.