Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhe Gan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j1]Zhe Gan, Linjie Li, Chunyuan Li, Lijuan Wang, Zicheng Liu, Jianfeng Gao:
Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends. Found. Trends Comput. Graph. Vis. 14(3-4): 163-352 (2022)- [c91]Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu:
Playing Lottery Tickets with Vision and Language. AAAI 2022: 652-660 - [c90]Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang:
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA. AAAI 2022: 3081-3089 - [c89]Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu:
Efficient Robust Training via Backward Smoothing. AAAI 2022: 6222-6230 - [c88]Kevin Lin, Linjie Li, Chung-Ching Lin, Faisal Ahmed, Zhe Gan, Zicheng Liu, Yumao Lu, Lijuan Wang:
SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning. CVPR 2022: 17928-17937 - [c87]Xiaowei Hu, Zhe Gan, Jianfeng Wang, Zhengyuan Yang, Zicheng Liu, Yumao Lu, Lijuan Wang:
Scaling Up Vision-Language Pretraining for Image Captioning. CVPR 2022: 17959-17968 - [c86]Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu:
Injecting Semantic Concepts into End-to-End Image Captioning. CVPR 2022: 17988-17998 - [c85]Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng:
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CVPR 2022: 18145-18155 - [c84]Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Faisal Ahmed, Zicheng Liu, Yumao Lu, Lijuan Wang:
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling. ECCV (36) 2022: 521-539 - [i105]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR abs/2204.09222 (2022) - [i104]Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang:
GIT: A Generative Image-to-text Transformer for Vision and Language. CoRR abs/2205.14100 (2022) - [i103]Linjie Li, Zhe Gan, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Ce Liu, Lijuan Wang:
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling. CoRR abs/2206.07160 (2022) - [i102]Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang:
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. CoRR abs/2206.07643 (2022) - [i101]Chenfei Wu, Jian Liang, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis. CoRR abs/2207.09814 (2022) - [i100]Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling. CoRR abs/2209.01540 (2022) - [i99]Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang:
Prompting GPT-3 To Be Reliable. CoRR abs/2210.09150 (2022) - [i98]Zhe Gan, Linjie Li, Chunyuan Li, Lijuan Wang, Zicheng Liu, Jianfeng Gao:
Vision-Language Pre-training: Basics, Recent Advances, and Future Trends. CoRR abs/2210.09263 (2022) - [i97]Jinghao Zhou, Li Dong, Zhe Gan, Lijuan Wang, Furu Wei:
Non-Contrastive Learning Meets Language-Image Pre-Training. CoRR abs/2210.09304 (2022) - [i96]Zixin Zhu, Yixuan Wei, Jianfeng Wang, Zhe Gan, Zheng Zhang, Le Wang, Gang Hua, Lijuan Wang, Zicheng Liu, Han Hu:
Exploring Discrete Diffusion Models for Image Captioning. CoRR abs/2211.11694 (2022) - [i95]Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang:
ReCo: Region-Controlled Text-to-Image Generation. CoRR abs/2211.15518 (2022) - [i94]Jialian Wu, Jianfeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu, Junsong Yuan, Lijuan Wang:
GRiT: A Generative Region-to-text Transformer for Object Understanding. CoRR abs/2212.00280 (2022) - [i93]Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao:
Generalized Decoding for Pixel, Image, and Language. CoRR abs/2212.11270 (2022) - 2021
- [c83]Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu:
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. AAAI 2021: 12776-12784 - [c82]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. ACL/IJCNLP (1) 2021: 2195-2207 - [c81]Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu:
Cluster-Former: Clustering-based Sparse Transformer for Question Answering. ACL/IJCNLP (Findings) 2021: 3958-3968 - [c80]Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu:
Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. CVPR 2021: 7331-7341 - [c79]Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin:
Wasserstein Contrastive Representation Distillation. CVPR 2021: 16296-16305 - [c78]Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu:
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. ICCV 2021: 2022-2031 - [c77]Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu:
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. ICLR 2021 - [c76]Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. ICLR 2021 - [c75]Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT 2021: 416-431 - [c74]Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang:
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. NeurIPS 2021: 19974-19988 - [c73]Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang:
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective. NeurIPS 2021: 20941-20955 - [c72]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. NeurIPS 2021: 26609-26621 - [c71]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. NeurIPS Datasets and Benchmarks 2021 - [c70]Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li:
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. NeurIPS Datasets and Benchmarks 2021 - [c69]Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein:
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients. ECML/PKDD (3) 2021: 628-643 - [c68]Wenhu Chen, Zhe Gan, Linjie Li
, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. WACV 2021: 655-664 - [i92]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. CoRR abs/2101.00063 (2021) - [i91]Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu:
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. CoRR abs/2102.06183 (2021) - [i90]Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang:
Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly. CoRR abs/2103.00397 (2021) - [i89]Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning. CoRR abs/2103.09420 (2021) - [i88]Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu:
Adversarial Feature Augmentation and Normalization for Visual Recognition. CoRR abs/2103.12171 (2021) - [i87]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. CoRR abs/2103.16547 (2021) - [i86]Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang:
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning. CoRR abs/2104.00285 (2021) - [i85]Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu:
Playing Lottery Tickets with Vision and Language. CoRR abs/2104.11832 (2021) - [i84]Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu:
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. CoRR abs/2106.00245 (2021) - [i83]Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang:
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. CoRR abs/2106.04533 (2021) - [i82]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. CoRR abs/2106.04632 (2021) - [i81]Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao:
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR abs/2107.01152 (2021) - [i80]Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang:
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA. CoRR abs/2109.05014 (2021) - [i79]Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng:
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CoRR abs/2111.02387 (2021) - [i78]Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li:
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. CoRR abs/2111.02840 (2021) - [i77]Jianfeng Wang, Xiaowei Hu, Zhe Gan, Zhengyuan Yang, Xiyang Dai, Zicheng Liu, Yumao Lu, Lijuan Wang:
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning. CoRR abs/2111.10023 (2021) - [i76]Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Faisal Ahmed, Zicheng Liu, Yumao Lu, Lijuan Wang:
Crossing the Format Boundary of Text and Boxes: Towards Unified Vision-Language Modeling. CoRR abs/2111.12085 (2021) - [i75]Xiaowei Hu, Zhe Gan, Jianfeng Wang, Zhengyuan Yang, Zicheng Liu, Yumao Lu, Lijuan Wang:
Scaling Up Vision-Language Pre-training for Image Captioning. CoRR abs/2111.12233 (2021) - [i74]Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling. CoRR abs/2111.12681 (2021) - [i73]Kevin Lin, Linjie Li, Chung-Ching Lin, Faisal Ahmed, Zhe Gan, Zicheng Liu, Yumao Lu, Lijuan Wang:
SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning. CoRR abs/2111.13196 (2021) - [i72]Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang:
MLP Architectures for Vision-and-Language Modeling: An Empirical Study. CoRR abs/2112.04453 (2021) - [i71]Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu:
Injecting Semantic Concepts into End-to-End Image Captioning. CoRR abs/2112.05230 (2021) - 2020
- [c67]Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin:
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI 2020: 979-988 - [c66]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. AAAI 2020: 7969-7976 - [c65]Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin:
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. ACCV (4) 2020: 268-283 - [c64]Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. ACCV (4) 2020: 661-678 - [c63]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. ACL 2020: 2516-2531 - [c62]Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu:
Discourse-Aware Neural Extractive Text Summarization. ACL 2020: 5021-5031 - [c61]Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu:
Distilling Knowledge Learned in BERT for Text Generation. ACL 2020: 7893-7905 - [c60]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS 2020: 422-433 - [c59]Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu:
BachGAN: High-Resolution Image Synthesis From Salient Object Layout. CVPR 2020: 8362-8371 - [c58]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR 2020: 10897-10907 - [c57]Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu:
UNITER: UNiversal Image-TExt Representation Learning. ECCV (30) 2020: 104-120 - [c56]Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu:
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. ECCV (6) 2020: 565-580 - [c55]Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang:
Cross-Thought for Sentence Encoder Pre-training. EMNLP (1) 2020: 412-421 - [c54]Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu:
Contrastive Distillation on Intermediate Representations for Language Model Compression. EMNLP (1) 2020: 498-508 - [c53]Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu:
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. EMNLP (1) 2020: 2046-2065 - [c52]Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu:
Contextual Text Style Transfer. EMNLP (Findings) 2020: 2915-2924 - [c51]Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan:
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training. EMNLP (1) 2020: 8649-8670 - [c50]Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu:
Hierarchical Graph Network for Multi-hop Question Answering. EMNLP (1) 2020: 8823-8838 - [c49]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. EMNLP (1) 2020: 9320-9331 - [c48]Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu:
FreeLB: Enhanced Adversarial Training for Natural Language Understanding. ICLR 2020 - [c47]Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu:
Graph Optimal Transport for Cross-Domain Alignment. ICML 2020: 1542-1553 - [c46]Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin:
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. ICML 2020: 1779-1788 - [c45]Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao:
Sequential Attention GAN for Interactive Image Editing. ACM Multimedia 2020: 4383-4391 - [c44]Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu:
Large-Scale Adversarial Training for Vision-and-Language Representation Learning. NeurIPS 2020 - [i70]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR abs/2001.06944 (2020) - [i69]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR abs/2003.11618 (2020) - [i68]Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu:
BachGAN: High-Resolution Image Synthesis from Salient Object Layout. CoRR abs/2003.11690 (2020) - [i67]Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. CoRR abs/2005.00054 (2020) - [i66]Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu:
Contextual Text Style Transfer. CoRR abs/2005.00136 (2020) - [i65]Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu:
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. CoRR abs/2005.00200 (2020) - [i64]Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan:
POINTER: Constrained Text Generation via Insertion-based Generative Pre-training. CoRR abs/2005.00558 (2020) - [i63]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. CoRR abs/2005.01279 (2020) - [i62]Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu:
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. CoRR abs/2005.07310 (2020) - [i61]Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu:
Large-Scale Adversarial Training for Vision-and-Language Representation Learning. CoRR abs/2006.06195 (2020) - [i60]Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein:
Adaptive Learning Rates with Maximum Variation Averaging. CoRR abs/2006.11918 (2020) - [i59]Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin:
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. CoRR abs/2006.12013 (2020) - [i58]Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu:
Graph Optimal Transport for Cross-Domain Alignment. CoRR abs/2006.14744 (2020) - [i57]Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu:
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. CoRR abs/2009.05166 (2020) - [i56]Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu:
Accelerating Real-Time Question Answering via Question Generation. CoRR abs/2009.05167 (2020) - [i55]Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu:
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding. CoRR abs/2009.06097 (2020) - [i54]Siqi Sun, Zhe Gan, Yu Cheng, Yuwei Fang, Shuohang Wang, Jingjing Liu:
Contrastive Distillation on Intermediate Representations for Language Model Compression. CoRR abs/2009.14167 (2020) - [i53]Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu:
Efficient Robust Training via Backward Smoothing. CoRR abs/2010.01278 (2020) - [i52]Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. CoRR abs/2010.01424 (2020) - [i51]Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu:
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. CoRR abs/2010.02329 (2020) - [i50]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. CoRR abs/2010.02443 (2020) - [i49]Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu:
Cross-Thought for Sentence Encoder Pre-training. CoRR abs/2010.03652 (2020) - [i48]Linjie Li, Zhe Gan, Jingjing Liu:
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models. CoRR abs/2012.08673 (2020) - [i47]Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin:
Wasserstein Contrastive Representation Distillation. CoRR abs/2012.08674 (2020)
2010 – 2019
- 2019
- [c43]Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Oliver Wu, Jianfeng Wang, Xiaodong He:
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation. AAAI 2019: 8465-8472 - [c42]Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao:
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. ACL (1) 2019: 6463-6474 - [c41]Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao:
StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR 2019: 6329-6338 - [c40]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR 2019: 6741-6749 - [c39]Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao:
TIGEr: Text-to-Image Grounding for Image Caption Evaluation. EMNLP/IJCNLP (1) 2019: 2141-2152 - [c38]Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang:
Adversarial Domain Adaptation for Machine Reading Comprehension. EMNLP/IJCNLP (1) 2019: 2510-2520 - [c37]Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun:
Domain Adaptive Text Style Transfer. EMNLP/IJCNLP (1) 2019: 3302-3311 - [c36]Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu:
Patient Knowledge Distillation for BERT Model Compression. EMNLP/IJCNLP (1) 2019: 4322-4331 - [c35]Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu:
Relation-Aware Graph Attention Network for Visual Question Answering. ICCV 2019: 10312-10321 - [c34]