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Publications(3)

• Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model

  AuthorJaejin Cho,Rakshith Srinivasa,Chinghua Lee,Yashas Malur Saidutta,Chouchang Yang,Yilin Shen,Hongxia Jin

  PublishedIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

  Date2024-04-14

• TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copy

  AuthorVibhav Agarwal, Sourav Ghosh, Harichandana BSS, Himanshu Arora, Barath Raj Kandur Raja

  PublishedIEEE/ACM Transactions on Audio, Speech, and Language Processing

  Date2024-01-12

• Resolution-robust Large Mask Inpainting with Fourier Convolutions

  AuthorRoman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky

  PublishedIEEE Winter Conference on Applications of Computer Vision (WACV)

  Date2022-01-04

News(4)

• [Blog] SWAM: Revisiting Swap and OOMK for Improving Application Responsiveness on Mobile Device

  Existing memory reclamation policies on mobile devices may be no longer valid because they have negative effects on the response time of running applications. In this paper, we propose SWAM, a new integrated memory management technique that complements the shortcomings of both the swapping and killing mechanism on mobile devices and improves the application responsiveness.

• SRPOL Vision 2025 Proclamation Ceremony

  On the 23rd of June, 2022 SRPOL Management hosted a special event: SRPOL Vision 2025 Proclamation Ceremony. During the event SRPOL Management officially shared our new Vision & Mission for the upcoming future.

• SRUK Open Innovation – An introduction to OI in Europe

  Leonardo Da-Vinci, Isaac Newton, Albert Einstein, Hedy Lamarr, George Stephenson, Karl Benz, Ada Lovelace, Stephen Hawking, Marie Curie, Tim Berners-Lee – the list of world renowned scientists and inventors to have come from Europe is incredibly long, and continues to grow, with every generation.

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