RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks von Tripathi, Rohun, Singh, Bharat

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ModEFormer: Modality-Preserving Embedding for Audio-Video Synchronization using Transformers von Gupta, Akash, Tripathi, Rohun, Jang, Wondong

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Performance characteristic transfer for localized content von Tripathi, Rohun, Saha, Angshuman, Nair, Naveen Sudhakaran

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RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks von Tripathi, Rohun, Singh, Bharat

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ModEFormer: Modality-Preserving Embedding for Audio-Video Synchronization using Transformers von Gupta, Akash, Tripathi, Rohun, Jang, Wondong

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Recurrent neural networks based Indic word-wise script identification using character-wise training von Tripathi, Rohun, Gill, Aman, Tripati, Riccha

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ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors von Tripathi, Rohun, Singla, Vasu, Najibi, Mahyar, Singh, Bharat, Sharma, Abhishek, Davis, Larry

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Semantic Segmentation with Scarce Data von Katsman, Isay, Tripathi, Rohun, Veit, Andreas, Belongie, Serge

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models von Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Zeng, Kuo-Hao, Borchardt, Jon, Groeneveld, Dirk, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A, Hajishirzi, Hannaneh, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha

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Recurrent neural networks based Indic word-wise script identification using character-wise training von Tripathi, Rohun, Gill, Aman, Tripati, Riccha

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ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors von Tripathi, Rohun, Singla, Vasu, Najibi, Mahyar, Singh, Bharat, Sharma, Abhishek, Davis, Larry

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Semantic Segmentation with Scarce Data von Isay Katsman, Tripathi, Rohun, Veit, Andreas, Belongie, Serge

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models von Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Jae Sung Park, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Kuo-Hao, Zeng, Borchardt, Jon, Groeneveld, Dirk, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A, Hannaneh Hajishirzi, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha

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