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Publication search results
found 41 matches
- 2024
- Hidehiro Fujiwara, Haruki Mori, Wei-Chang Zhao, Kinshuk Khare, Cheng-En Lee, Xiaochen Peng, Vineet Joshi, Chao-Kai Chuang, Shu-Huan Hsu, Takeshi Hashizume, Toshiaki Naganuma, Chen-Hung Tien, Yao-Yi Liu, Yen-Chien Lai, Chia-Fu Lee, Tan-Li Chou, Kerem Akarvardar, Saman Adham, Yih Wang, Yu-Der Chih, Yen-Huei Chen, Hung-Jen Liao, Tsung-Yung Jonathan Chang:
34.4 A 3nm, 32.5TOPS/W, 55.0TOPS/mm2 and 3.78Mb/mm2 Fully-Digital Compute-in-Memory Macro Supporting INT12 × INT12 with a Parallel-MAC Architecture and Foundry 6T-SRAM Bit Cell. ISSCC 2024: 572-574 - Ku-Feng Lin, Hiroki Noguchi, Yi-Chun Shih, Perng-Fei Yuh, Yuan-Jen Lee, Tung-Cheng Chang, Sheng-Po Huang, Yu-Fan Lin, Chun-Ying Lee, Yen-Hsiang Huang, Jui-Che Tsai, Saman Adham, Peter Noel, Ramin Yazdi, Marat Gershoig, YangJae Shin, Vineet Joshi, Ted Wong, Meng-Ru Jiang, J. J. Wu, Chun-Tai Cheng, Yu-Jen Wang, Harry Chuang, Yu-Der Chih, Yih Wang, Tsung-Yung Jonathan Chang:
15.9 A 16nm 16Mb Embedded STT-MRAM with a 20ns Write Time, a 1012 Write Endurance and Integrated Margin-Expansion Schemes. ISSCC 2024: 292-294 - Dhruv Srikanth, Jayang Gurung, N. Satya Deepika, Vineet Joshi, Pravin Vaddavalli, Soumya Jana:
Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation. CoRR abs/2402.07118 (2024) - Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Neel Joshi:
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. CoRR abs/2406.14852 (2024) - Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR abs/2407.00121 (2024) - Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi:
Eureka: Evaluating and Understanding Large Foundation Models. CoRR abs/2409.10566 (2024) - 2023
- Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras:
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. EMNLP 2023: 10335-10347 - Vineet Vishnoi, Ishan Budhiraja, Suneet K. Gupta, Neeraj Joshi, Anushka Nehra, Haneef Khan:
Deep Reinforcement Learning Based Energy Efficiency Maximization Scheme for Uplink NOMA Enabled D2D Users. GLOBECOM 2023: 4728-4734 - Sruthi Sudhakar, Jon Hanzelka, Josh Bobillot, Tanmay Randhavane, Neel Joshi, Vibhav Vineet:
Exploring the Sim2Real Gap using Digital Twins. ICCV 2023: 20361-20370 - Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi:
Scaling Novel Object Detection with Weakly Supervised Detection Transformers. WACV 2023: 85-96 - Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras:
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. CoRR abs/2305.12191 (2023) - Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang:
Controllable Text-to-Image Generation with GPT-4. CoRR abs/2305.18583 (2023) - Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet:
Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation. CoRR abs/2309.05956 (2023) - 2022
- Ritam Dutta, Tanoy Mukherjee, Amira Sharief, Hemant Singh, Vineet Kumar, Bheem Dutt Joshi, Dhriti Banerjee, Mukesh Thakur, Lalit Kumar Sharma:
Climate change may plunder the facultative top predator Yellow-throated Martin from the Hindu-Kush Himalayan Region. Ecol. Informatics 69: 101622 (2022) - Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song:
Robust Contrastive Learning against Noisy Views. CVPR 2022: 16649-16660 - Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet:
Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) 2022: 477-493 - Vineet Joshi, A. V. Subramanyam:
Contextual Active Learning for Person Re- Identification. MIPR 2022: 252-257 - Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song:
Robust Contrastive Learning against Noisy Views. CoRR abs/2201.04309 (2022) - Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song:
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. CoRR abs/2203.08130 (2022) - Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi:
Scaling Novel Object Detection with Weakly Supervised Detection Transformers. CoRR abs/2207.05205 (2022) - Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet:
Neural-Sim: Learning to Generate Training Data with NeRF. CoRR abs/2207.11368 (2022) - 2021
- Denis Alexandrovich Pustokhin, Irina Valeryevna Pustokhina, Poonam Rani, Vineet Kansal, Mohamed Elhoseny, Gyanendra Prasad Joshi, K. Shankar:
Optimal deep learning approaches and healthcare big data analytics for mobile networks toward 5G. Comput. Electr. Eng. 95: 107376 (2021) - Pankaj Dhoolia, Vineet Kumar, Danish Contractor, Sachindra Joshi:
Bootstrapping Dialog Models from Human to Human Conversation Logs. AAAI 2021: 16024-16025 - 2020
- Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi:
Depth Completion Using a View-constrained Deep Prior. 3DV 2020: 723-733 - Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi:
Deep Depth Prior for Multi-View Stereo. CoRR abs/2001.07791 (2020) - Wufei Ma, Elizabeth Kautz, Arun Baskaran, Aritra Chowdhury, Vineet Joshi, Bülent Yener, Daniel Lewis:
Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships. CoRR abs/2007.13417 (2020) - Raghav Awasthi, Prachi Patel, Vineet Joshi, Shama Karkal, Tavpritesh Sethi:
Learning Explainable Interventions to Mitigate HIV Transmission in Sex Workers Across Five States in India. CoRR abs/2012.01930 (2020) - 2019
- Elizabeth Kautz, Wufei Ma, Saumyadeep Jana, Arun Devaraj, Vineet Joshi, Bülent Yener, Daniel Lewis:
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction. CoRR abs/1906.05496 (2019) - 2018
- Gaurav Pandey, Danish Contractor, Vineet Kumar, Sachindra Joshi:
Exemplar Encoder-Decoder for Neural Conversation Generation. ACL (1) 2018: 1329-1338 - 2017
- Vineet Kumar, Sachindra Joshi:
Incomplete Follow-up Question Resolution using Retrieval based Sequence to Sequence Learning. SIGIR 2017: 705-714
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