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The Granularity Gap Problem: A Hurdle for Applying Approximate Memory to Complex Data Layout

• Authors : Ryota Shioya; Soramichi Akiyama

Subjects: FOS: Computer and information sciences; Computer science; Computer Science - Emerging Technologies

• Source: ICPE

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Maximum likelihood estimation of a log-concave density and its distribution function: Basic properties and uniform consistency

• Authors : Lutz Dümbgen; Kaspar Rufibach;

Subjects: FOS: Computer and information sciences; Statistics and Probability; shape constraints

• Source: Dümbgen, Lutz; Rufibach, Kaspar (2009). Maximum likelihood estimation of a log-concave density and its distribution function: Basic properties and uniform consistency. Bernoulli, 15(1), pp. 40-68.

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A new perspective for understanding generalization gap of deep neural networks trained with large batch sizes

• Authors : Oyebade K. Oyedotun; Konstantinos Papadopoulos; Djamila Aouada

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Artificial Intelligence

• Source: Applied Intelligence. 53:15621-15637

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Unified Embedding Based Personalized Retrieval in Etsy Search

• Authors : Jha, Rishikesh; Subramaniyam, Siddharth; Benjamin, Ethan

Subjects: FOS: Computer and information sciences; Artificial Intelligence (cs.AI); Computer Science - Artificial Intelligence

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Texture Learning Domain Randomization for Domain Generalized Segmentation

• Authors : Kim, Sunghwan; Kim, Dae-hwan; Kim, Hoseong

Subjects: FOS: Computer and information sciences; Computer Vision and Pattern Recognition (cs.CV); Computer Science - Computer Vision and Pattern Recognition

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R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation

• Authors : Mehreen, Mubashar; Hazrat, Ali; Christer, Grönlund

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Computer Sciences

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Almost-Optimal Sublinear-Time Edit Distance in the Low Distance Regime

• Authors : Karl Bringmann; Alejandro Cassis; Nick Fischer

Subjects: FOS: Computer and information sciences; Computer Science - Data Structures and Algorithms; Data Structures and Algorithms (cs.DS)

• Source: STOC '22: 54th Annual ACM SIGACT Symposium on Theory of ComputingSTOC '22Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing

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Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention ...

• Authors : Lee, Sang-Hyun; Kwon, Daehyeok; Seo, Seung-Woo

Subjects: Robotics cs.RO; Machine Learning cs.LG; FOS: Computer and information sciences

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Strong Parallel Repetition for Unique Games on Small Set Expanders

• Authors : Moshkovitz, Dana

Subjects: FOS: Computer and information sciences; Computer Science::Computer Science and Game Theory; Computer Science - Computational Complexity

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Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher

• Authors : Rezagholizadeh, Mehdi; Jafari, Aref; Salad, Puneeth

Subjects: FOS: Computer and information sciences; Computer Science - Computation and Language; Computation and Language (cs.CL)

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