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2020 – today
- 2024
[i10]Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David J. Fleet:
Controlling Space and Time with Diffusion Models. CoRR abs/2407.07860 (2024)- 2023
- [c12]Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet:
A Generalist Framework for Panoptic Segmentation of Images and Videos. ICCV 2023: 909-919 - [c11]Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen:
Guiding image captioning models toward more specific captions. ICCV 2023: 15213-15223 - [i9]Ting Chen, Lala Li:
FIT: Far-reaching Interleaved Transformers. CoRR abs/2305.12689 (2023) - [i8]Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen:
Guiding Image Captioning Models Toward More Specific Captions. CoRR abs/2307.16686 (2023) - 2022
- [c10]Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton:
Pix2seq: A Language Modeling Framework for Object Detection. ICLR 2022 - [c9]Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton:
A Unified Sequence Interface for Vision Tasks. NeurIPS 2022 - [c8]Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi:
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. NeurIPS 2022 - [i7]Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi:
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR abs/2205.11487 (2022) - [i6]Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton:
A Unified Sequence Interface for Vision Tasks. CoRR abs/2206.07669 (2022) - [i5]Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet:
A Generalist Framework for Panoptic Segmentation of Images and Videos. CoRR abs/2210.06366 (2022) - 2021
- [c7]Ting Chen, Calvin Luo, Lala Li:
Intriguing Properties of Contrastive Losses. NeurIPS 2021: 11834-11845 - [i4]Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton:
Pix2seq: A Language Modeling Framework for Object Detection. CoRR abs/2109.10852 (2021) - 2020
- [c6]Ting Chen, Lala Li, Yizhou Sun:
Differentiable Product Quantization for End-to-End Embedding Compression. ICML 2020: 1617-1626 - [i3]Ting Chen, Lala Li:
Intriguing Properties of Contrastive Losses. CoRR abs/2011.02803 (2020)
2010 – 2019
- 2019
- [c5]Lala Li, William Chan:
Big Bidirectional Insertion Representations for Documents. NGT@EMNLP-IJCNLP 2019: 194-198 - [c4]Guodong Zhang, Lala Li, Zachary Nado, James Martens, Sushant Sachdeva, George E. Dahl, Christopher J. Shallue, Roger B. Grosse:
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model. NeurIPS 2019: 8194-8205 - [i2]Guodong Zhang, Lala Li, Zachary Nado, James Martens, Sushant Sachdeva, George E. Dahl, Christopher J. Shallue, Roger B. Grosse:
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model. CoRR abs/1907.04164 (2019) - [i1]Lala Li, William Chan:
Big Bidirectional Insertion Representations for Documents. CoRR abs/1910.13034 (2019)
2000 – 2009
- 2009
- [c3]Yan Niu, Lala Li:
An Improved Chinese Segmentation Algorithm Based on New Dictionary Construction. CSE (2) 2009: 993-996 - [c2]Yan Niu, Jun Li, Lala Li:
Research on Authentication Security of Wireless Local Area Network Based on L2TP Protocol. SSME 2009: 491-494 - [c1]Yan Niu, Jun Li, Lala Li:
The Lab Reservation System Design and Implementation Based on Greedy Algorithm. SSME 2009: 495-498
Coauthor Index
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