https://deepai.org/publication/generative-models-as-a-data-source-for-multiview-representation-learning
06/09/21 - Generative models are now capable of producing highly realistic images that look nearly indistinguishable from the data on which t...
as adata sourcerepresentation learninggenerativemodels
https://deepai.org/publication/effect-of-choosing-loss-function-when-using-t-batching-for-representation-learning-on-dynamic-networks
08/13/23 - Representation learning methods have revolutionized machine learning on networks by converting discrete network structures into co...
loss functioneffectchoosingusingbatching
https://aclanthology.org/2020.coling-main.86/
Phi Manh Kien, Ha-Thanh Nguyen, Ngo Xuan Bach, Vu Tran, Minh Le Nguyen, Tu Minh Phuong. Proceedings of the 28th International Conference on Computational...
answeringlegalquestionslearningneural
https://arxiv.org/abs/2109.03386
Abstract page for arXiv paper 2109.03386: On Characterizing the Trade-off in Invariant Representation Learning
the trade offinvariantrepresentation
https://arxiv.org/abs/1711.00937?utm_campaign=The%20Batch&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz--gFEtXcCMLVqLfHaIwOi52R9lADxCWEZuimQpK5RdpMekm0JE5sgJT-T2O80Zg6FMPnPXe
Abstract page for arXiv paper 1711.00937: Neural Discrete Representation Learning
representation learningneuraldiscrete
https://www.arxiv.org/abs/2306.16615
Abstract page for arXiv paper 2306.16615: Representation learning of vertex heatmaps for 3D human mesh reconstruction from multi-view images
representation learningvertexheatmapshuman
https://openreview.net/forum?id=aW2fcZRjLi&referrer=%5Bthe%20profile%20of%20Victor%20Valls%5D(%2Fprofile%3Fid%3D~Victor_Valls1)
Recent research on predicting the binding affinity between drug molecules and proteins use representations learned, through unsupervised learning techniques,...
representation learningdrug discoveryknowledgeenhanced
https://deepai.org/publication/joint-word-representation-learning-using-a-corpus-and-a-semantic-lexicon
11/19/15 - Methods for learning word representations using large text corpora have received much attention lately due to their impressive per...
representation learningjointwordusingcorpus
https://www.broadinstitute.org/talks/primer-charting-landscape-3d-genome-organization-graph-representation-learning
The three-dimensional (3D) organization of chromosomes in eukaryotic cells is key to understanding cellular functions such as DNA replication and gene...
primerchartinglandscapegenomeorganization
https://deepai.org/publication/unispeech-sat-universal-speech-representation-learning-with-speaker-aware-pre-training
10/12/21 - Self-supervised learning (SSL) is a long-standing goal for speech processing, since it utilizes large-scale unlabeled data and avo...
representation learningsatuniversalspeechspeaker
https://openreview.net/forum?id=eGNwWBfqqs&referrer=%5Bthe%20profile%20of%20Xiaohu%20Zhao%5D(%2Fprofile%3Fid%3D~Xiaohu_Zhao1)
Deep neural networks have demonstrated their capacity in extracting features from speech inputs. However, these features may include non-linguistic speech...
contentcentricspeechrepresentationlearning
https://deepai.org/publication/federated-unsupervised-representation-learning
10/18/20 - To leverage enormous unlabeled data on distributed edge devices, we formulate a new problem in federated learning called Federated...
representation learningfederatedunsupervised
https://openreview.net/forum?id=E8IhOxNREv&referrer=%5Bthe%20profile%20of%20Sebastien%20Lachapelle%5D(%2Fprofile%3Fid%3D~Sebastien_Lachapelle1)
We present a unified framework for studying the identifiability of representations learned from simultaneously observed views, such as different data...
multi viewrepresentation learningcausalpartialobservability
https://openreview.net/forum?id=3AxESAk0Re&referrer=%5Bthe%20profile%20of%20Ruoming%20Pang%5D(%2Fprofile%3Fid%3D~Ruoming_Pang2)
Image and text retrieval is one of the foundational tasks in the vision and language domain with multiple real-world applications. State-of-the-art contrastive...
stairlearningsparsetextimage
https://openreview.net/forum?id=l9vM_PaUKz&referrer=%5Bthe%20profile%20of%20Zhan%20Tong%5D(%2Fprofile%3Fid%3D~Zhan_Tong1)
We leverage the soft neighbors to sufficiently explore the correlation information among samples in cotrastive learning.
visual representationsoftneighborspositivesupporters