Zobrazeno 1 - 10
of 1 182
pro vyhledávání: '"Chen, Yi‐Ling"'
Autor:
Abdin, Marah, Aneja, Jyoti, Awadalla, Hany, Awadallah, Ahmed, Awan, Ammar Ahmad, Bach, Nguyen, Bahree, Amit, Bakhtiari, Arash, Bao, Jianmin, Behl, Harkirat, Benhaim, Alon, Bilenko, Misha, Bjorck, Johan, Bubeck, Sébastien, Cai, Martin, Cai, Qin, Chaudhary, Vishrav, Chen, Dong, Chen, Dongdong, Chen, Weizhu, Chen, Yen-Chun, Chen, Yi-Ling, Cheng, Hao, Chopra, Parul, Dai, Xiyang, Dixon, Matthew, Eldan, Ronen, Fragoso, Victor, Gao, Jianfeng, Gao, Mei, Gao, Min, Garg, Amit, Del Giorno, Allie, Goswami, Abhishek, Gunasekar, Suriya, Haider, Emman, Hao, Junheng, Hewett, Russell J., Hu, Wenxiang, Huynh, Jamie, Iter, Dan, Jacobs, Sam Ade, Javaheripi, Mojan, Jin, Xin, Karampatziakis, Nikos, Kauffmann, Piero, Khademi, Mahoud, Kim, Dongwoo, Kim, Young Jin, Kurilenko, Lev, Lee, James R., Lee, Yin Tat, Li, Yuanzhi, Li, Yunsheng, Liang, Chen, Liden, Lars, Lin, Xihui, Lin, Zeqi, Liu, Ce, Liu, Liyuan, Liu, Mengchen, Liu, Weishung, Liu, Xiaodong, Luo, Chong, Madan, Piyush, Mahmoudzadeh, Ali, Majercak, David, Mazzola, Matt, Mendes, Caio César Teodoro, Mitra, Arindam, Modi, Hardik, Nguyen, Anh, Norick, Brandon, Patra, Barun, Perez-Becker, Daniel, Portet, Thomas, Pryzant, Reid, Qin, Heyang, Radmilac, Marko, Ren, Liliang, de Rosa, Gustavo, Rosset, Corby, Roy, Sambudha, Ruwase, Olatunji, Saarikivi, Olli, Saied, Amin, Salim, Adil, Santacroce, Michael, Shah, Shital, Shang, Ning, Sharma, Hiteshi, Shen, Yelong, Shukla, Swadheen, Song, Xia, Tanaka, Masahiro, Tupini, Andrea, Vaddamanu, Praneetha, Wang, Chunyu, Wang, Guanhua, Wang, Lijuan, Wang, Shuohang, Wang, Xin, Wang, Yu, Ward, Rachel, Wen, Wen, Witte, Philipp, Wu, Haiping, Wu, Xiaoxia, Wyatt, Michael, Xiao, Bin, Xu, Can, Xu, Jiahang, Xu, Weijian, Xue, Jilong, Yadav, Sonali, Yang, Fan, Yang, Jianwei, Yang, Yifan, Yang, Ziyi, Yu, Donghan, Yuan, Lu, Zhang, Chenruidong, Zhang, Cyril, Zhang, Jianwen, Zhang, Li Lyna, Zhang, Yi, Zhang, Yue, Zhang, Yunan, Zhou, Xiren
We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing, rivals that of models such as Mixtral 8x7B and GPT-3.5 (e.g., phi
Externí odkaz:
http://arxiv.org/abs/2404.14219
Autor:
Meng, Lingchen, Dai, Xiyang, Yang, Jianwei, Chen, Dongdong, Chen, Yinpeng, Liu, Mengchen, Chen, Yi-Ling, Wu, Zuxuan, Yuan, Lu, Jiang, Yu-Gang
Long-tailed object detection (LTOD) aims to handle the extreme data imbalance in real-world datasets, where many tail classes have scarce instances. One popular strategy is to explore extra data with image-level labels, yet it produces limited result
Externí odkaz:
http://arxiv.org/abs/2310.12152
Autor:
Yang, Ziyi, Khademi, Mahmoud, Xu, Yichong, Pryzant, Reid, Fang, Yuwei, Zhu, Chenguang, Chen, Dongdong, Qian, Yao, Gao, Mei, Chen, Yi-Ling, Gmyr, Robert, Kanda, Naoyuki, Codella, Noel, Xiao, Bin, Shi, Yu, Yuan, Lu, Yoshioka, Takuya, Zeng, Michael, Huang, Xuedong
The convergence of text, visual, and audio data is a key step towards human-like artificial intelligence, however the current Vision-Language-Speech landscape is dominated by encoder-only models which lack generative abilities. We propose closing thi
Externí odkaz:
http://arxiv.org/abs/2305.12311
In this paper, we consider an intelligent reflecting surface (IRS)-aided cell-free massive multiple-input multiple-output system, where the beamforming at access points and the phase shifts at IRSs are jointly optimized to maximize energy efficiency
Externí odkaz:
http://arxiv.org/abs/2212.12744
Autor:
Yang, Ziyi, Fang, Yuwei, Zhu, Chenguang, Pryzant, Reid, Chen, Dongdong, Shi, Yu, Xu, Yichong, Qian, Yao, Gao, Mei, Chen, Yi-Ling, Lu, Liyang, Xie, Yujia, Gmyr, Robert, Codella, Noel, Kanda, Naoyuki, Xiao, Bin, Yuan, Lu, Yoshioka, Takuya, Zeng, Michael, Huang, Xuedong
Human intelligence is multimodal; we integrate visual, linguistic, and acoustic signals to maintain a holistic worldview. Most current pretraining methods, however, are limited to one or two modalities. We present i-Code, a self-supervised pretrainin
Externí odkaz:
http://arxiv.org/abs/2205.01818
Publikováno v:
In Journal of Infection and Public Health October 2024 17(10)
Autor:
Wang, Yu-Hua, Hong, Lei, Li, Jian-Juan, Zhang, Qing-Xu, Wang, Ai-Qi, Lin, Shao-Xiong, Hu, Ming-Yue, Chen, Yi-Ling, Lin, Wen-Xiong, Wang, Hai-Bin, Wu, Ze-Yan
Publikováno v:
In Applied Soil Ecology October 2024 202
Autor:
Yuan, Lu, Chen, Dongdong, Chen, Yi-Ling, Codella, Noel, Dai, Xiyang, Gao, Jianfeng, Hu, Houdong, Huang, Xuedong, Li, Boxin, Li, Chunyuan, Liu, Ce, Liu, Mengchen, Liu, Zicheng, Lu, Yumao, Shi, Yu, Wang, Lijuan, Wang, Jianfeng, Xiao, Bin, Xiao, Zhen, Yang, Jianwei, Zeng, Michael, Zhou, Luowei, Zhang, Pengchuan
Automated visual understanding of our diverse and open world demands computer vision models to generalize well with minimal customization for specific tasks, similar to human vision. Computer vision foundation models, which are trained on diverse, la
Externí odkaz:
http://arxiv.org/abs/2111.11432
Autor:
Yang, Chih‐Chao, Chen, Yi-Ling, Sung, Pei-Hsun, Chiang, John Y., Chen, Chih-Hung, Li, Yi-Chen, Yip, Hon-Kan
Publikováno v:
In Biomedical Journal April 2024 47(2)