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2020 – today
- 2024
[j6]Peng Wang, Yuan Liu, Guying Lin, Jiatao Gu, Lingjie Liu, Taku Komura, Wenping Wang:
ProLiF: Progressively-connected Light Field network for efficient view synthesis. Comput. Graph. 120: 103913 (2024)- [c63]Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind:
Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images. 3DV 2024: 685-696 - [c62]Jing Nathan Yan, Jiatao Gu, Alexander M. Rush:
Diffusion Models Without Attention. CVPR 2024: 8239-8249 - [c61]Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang:
Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP (Findings) 2024: 2572-2585 - [c60]Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Joshua M. Susskind, Shuangfei Zhai:
Generative Modeling with Phase Stochastic Bridge. ICLR 2024 - [c59]Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly:
Matryoshka Diffusion Models. ICLR 2024 - [c58]Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind:
Data-free Distillation of Diffusion Models with Bootstrapping. ICML 2024 - [i73]Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang:
Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR abs/2402.15000 (2024) - [i72]Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly:
How Far Are We from Intelligent Visual Deductive Reasoning? CoRR abs/2403.04732 (2024) - [i71]Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu:
Many-to-many Image Generation with Auto-regressive Diffusion Models. CoRR abs/2404.03109 (2024) - [i70]Chen Wang, Jiatao Gu, Xiaoxiao Long, Yuan Liu, Lingjie Liu:
GECO: Generative Image-to-3D within a SECOnd. CoRR abs/2405.20327 (2024) - [i69]Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind:
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. CoRR abs/2405.21048 (2024) - [i68]Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai:
Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR abs/2406.00633 (2024) - [i67]Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh M. Susskind, Shuangfei Zhai:
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation. CoRR abs/2410.08159 (2024) - 2023
- [c57]Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su:
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. ICCV 2023: 2416-2425 - [c56]Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind:
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. ICLR 2023 - [c55]Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind:
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. ICLR 2023 - [c54]Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. ICLR 2023 - [c53]Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi:
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion. ICML 2023: 11808-11826 - [c52]Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind:
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. ICML 2023: 40770-40803 - [c51]Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly:
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. NeurIPS 2023 - [i66]Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh M. Susskind, Christian Theobalt
, Lingjie Liu, Ravi Ramamoorthi:
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion. CoRR abs/2302.10109 (2023) - [i65]Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. CoRR abs/2303.00165 (2023) - [i64]Chen Huang, Hanlin Goh, Jiatao Gu, Josh M. Susskind:
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. CoRR abs/2303.03679 (2023) - [i63]Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind:
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. CoRR abs/2303.06296 (2023) - [i62]Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind:
Learning Controllable 3D Diffusion Models from Single-view Images. CoRR abs/2304.06700 (2023) - [i61]Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su:
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. CoRR abs/2304.06714 (2023) - [i60]Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly:
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. CoRR abs/2306.02531 (2023) - [i59]Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh M. Susskind:
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping. CoRR abs/2306.05544 (2023) - [i58]Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Josh M. Susskind, Shuangfei Zhai:
Generative Modeling with Phase Stochastic Bridges. CoRR abs/2310.07805 (2023) - [i57]Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio:
Adaptivity and Modularity for Efficient Generalization Over Task Complexity. CoRR abs/2310.08866 (2023) - [i56]Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly:
Matryoshka Diffusion Models. CoRR abs/2310.15111 (2023) - [i55]Jing Nathan Yan, Jiatao Gu, Alexander M. Rush:
Diffusion Models Without Attention. CoRR abs/2311.18257 (2023) - [i54]Liangchen Song, Liangliang Cao, Jiatao Gu, Yifan Jiang, Junsong Yuan, Hao Tang:
Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models. CoRR abs/2312.08563 (2023) - 2022
- [c50]Jiatao Gu, Xu Tan:
Non-Autoregressive Sequence Generation. ACL (tutorial) 2022: 21-27 - [c49]Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino:
Unified Speech-Text Pre-training for Speech Translation and Recognition. ACL (1) 2022: 1488-1499 - [c48]Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz:
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. ACL (Findings) 2022: 1972-1983 - [c47]Ann Lee, Peng-Jen Chen, Changhan Wang, Jiatao Gu, Sravya Popuri, Xutai Ma, Adam Polyak, Yossi Adi, Qing He, Yun Tang, Juan Pino, Wei-Ning Hsu:
Direct Speech-to-Speech Translation With Discrete Units. ACL (1) 2022: 3327-3339 - [c46]Jiatao Gu, Jing Zeng, Genlin Ji:
Dual Attention Mechanisms Based Auto-Encoder for Video Anomaly Detection. ICAIS (1) 2022: 153-165 - [c45]Jiatao Gu, Lingjie Liu, Peng Wang, Christian Theobalt:
StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis. ICLR 2022 - [c44]Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli:
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. ICML 2022: 1298-1312 - [c43]Sravya Popuri, Peng-Jen Chen, Changhan Wang, Juan Pino, Yossi Adi, Jiatao Gu, Wei-Ning Hsu, Ann Lee:
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation. INTERSPEECH 2022: 5195-5199 - [c42]Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne, Holger Schwenk, Peng-Jen Chen, Changhan Wang, Sravya Popuri, Yossi Adi, Juan Miguel Pino, Jiatao Gu, Wei-Ning Hsu:
Textless Speech-to-Speech Translation on Real Data. NAACL-HLT 2022: 860-872 - [c41]Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma:
IDPG: An Instance-Dependent Prompt Generation Method. NAACL-HLT 2022: 5507-5521 - [i53]Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli:
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. CoRR abs/2202.03555 (2022) - [i52]Sravya Popuri, Peng-Jen Chen, Changhan Wang, Juan Pino, Yossi Adi, Jiatao Gu, Wei-Ning Hsu, Ann Lee:
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation. CoRR abs/2204.02967 (2022) - [i51]Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma:
IDPG: An Instance-Dependent Prompt Generation Method. CoRR abs/2204.04497 (2022) - [i50]Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino:
Unified Speech-Text Pre-training for Speech Translation and Recognition. CoRR abs/2204.05409 (2022) - [i49]Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz:
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. CoRR abs/2204.05990 (2022) - [i48]Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li:
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. CoRR abs/2206.02079 (2022) - [i47]Peng Wang, Yuan Liu, Guying Lin, Jiatao Gu, Lingjie Liu, Taku Komura, Wenping Wang:
Progressively-connected Light Field Network for Efficient View Synthesis. CoRR abs/2207.04465 (2022) - [i46]Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Josh M. Susskind:
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. CoRR abs/2210.04955 (2022) - 2021
- [j5]Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, Christian Theobalt:
Neural actor: neural free-view synthesis of human actors with pose control. ACM Trans. Graph. 40(6): 219:1-219:16 (2021) - [c40]Jiatao Gu, Xiang Kong:
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade. ACL/IJCNLP (Findings) 2021: 120-133 - [c39]Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier:
Lightweight Adapter Tuning for Multilingual Speech Translation. ACL/IJCNLP (2) 2021: 817-824 - [c38]Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. ACL/IJCNLP (Findings) 2021: 1393-1404 - [c37]Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan:
Multilingual Translation from Denoising Pre-Training. ACL/IJCNLP (Findings) 2021: 3450-3466 - [c36]Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato:
The Source-Target Domain Mismatch Problem in Machine Translation. EACL 2021: 1519-1533 - [c35]Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li:
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. EACL 2021: 1613-1624 - [c34]Changhan Wang, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Ann Lee, Peng-Jen Chen, Jiatao Gu, Juan Pino:
fairseq S\^2: A Scalable and Integrable Speech Synthesis Toolkit. EMNLP (Demos) 2021: 143-152 - [c33]Changhan Wang, Anne Wu, Jiatao Gu, Juan Pino:
CoVoST 2 and Massively Multilingual Speech Translation. Interspeech 2021: 2247-2251 - [c32]Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman:
Volume Rendering of Neural Implicit Surfaces. NeurIPS 2021: 4805-4815 - [i45]Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier:
Lightweight Adapter Tuning for Multilingual Speech Translation. CoRR abs/2106.01463 (2021) - [i44]Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, Christian Theobalt:
Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control. CoRR abs/2106.02019 (2021) - [i43]Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman:
Volume Rendering of Neural Implicit Surfaces. CoRR abs/2106.12052 (2021) - [i42]Ann Lee, Peng-Jen Chen, Changhan Wang, Jiatao Gu, Xutai Ma, Adam Polyak, Yossi Adi, Qing He, Yun Tang, Juan Miguel Pino, Wei-Ning Hsu:
Direct speech-to-speech translation with discrete units. CoRR abs/2107.05604 (2021) - [i41]Changhan Wang, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Ann Lee, Peng-Jen Chen, Jiatao Gu, Juan Miguel Pino:
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit. CoRR abs/2109.06912 (2021) - [i40]Jiatao Gu, Lingjie Liu, Peng Wang, Christian Theobalt:
StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis. CoRR abs/2110.08985 (2021) - [i39]Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne, Holger Schwenk, Peng-Jen Chen, Changhan Wang, Sravya Popuri, Juan Miguel Pino, Jiatao Gu, Wei-Ning Hsu:
Textless Speech-to-Speech Translation on Real Data. CoRR abs/2112.08352 (2021) - 2020
- [j4]Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 8: 726-742 (2020) - [c31]Changhan Wang, Kyunghyun Cho, Jiatao Gu:
Neural Machine Translation with Byte-Level Subwords. AAAI 2020: 9154-9160 - [c30]Arya D. McCarthy, Xian Li, Jiatao Gu, Ning Dong:
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation. ACL 2020: 8512-8525 - [c29]Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier:
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation. COLING 2020: 3520-3533 - [c28]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. ECCV (3) 2020: 574-591 - [c27]Xutai Ma, Mohammad Javad Dousti, Changhan Wang, Jiatao Gu, Juan Miguel Pino:
SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation. EMNLP (Demos) 2020: 144-150 - [c26]Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli:
Depth-Adaptive Transformer. ICLR 2020 - [c25]Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato:
Revisiting Self-Training for Neural Sequence Generation. ICLR 2020 - [c24]Xutai Ma, Juan Miguel Pino, James Cross, Liezl Puzon, Jiatao Gu:
Monotonic Multihead Attention. ICLR 2020 - [c23]Chunting Zhou, Jiatao Gu, Graham Neubig:
Understanding Knowledge Distillation in Non-autoregressive Machine Translation. ICLR 2020 - [c22]Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu:
Non-autoregressive Machine Translation with Disentangled Context Transformer. ICML 2020: 5144-5155 - [c21]Anne Wu, Changhan Wang, Juan Miguel Pino, Jiatao Gu:
Self-Supervised Representations Improve End-to-End Speech Translation. INTERSPEECH 2020: 1491-1495 - [c20]Changhan Wang, Juan Miguel Pino, Jiatao Gu:
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation. INTERSPEECH 2020: 4731-4735 - [c19]Ebrahim Ansari, Amittai Axelrod, Nguyen Bach, Ondrej Bojar, Roldano Cattoni, Fahim Dalvi, Nadir Durrani, Marcello Federico, Christian Federmann, Jiatao Gu, Fei Huang, Kevin Knight, Xutai Ma, Ajay Nagesh, Matteo Negri, Jan Niehues, Juan Miguel Pino, Elizabeth Salesky, Xing Shi, Sebastian Stüker, Marco Turchi, Alexander Waibel, Changhan Wang:
FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN. IWSLT 2020: 1-34 - [c18]Changhan Wang, Juan Miguel Pino, Anne Wu, Jiatao Gu:
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus. LREC 2020: 4197-4203 - [c17]Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt:
Neural Sparse Voxel Fields. NeurIPS 2020 - [c16]Chau Tran, Yuqing Tang, Xian Li, Jiatao Gu:
Cross-lingual Retrieval for Iterative Self-Supervised Training. NeurIPS 2020 - [c15]Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu:
Facebook AI's WMT20 News Translation Task Submission. WMT@EMNLP 2020: 113-125 - [i38]Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu:
Parallel Machine Translation with Disentangled Context Transformer. CoRR abs/2001.05136 (2020) - [i37]Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. CoRR abs/2001.08210 (2020) - [i36]Changhan Wang, Juan Miguel Pino, Anne Wu, Jiatao Gu:
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus. CoRR abs/2002.01320 (2020) - [i35]Changhan Wang, Juan Miguel Pino, Jiatao Gu:
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation. CoRR abs/2006.05474 (2020) - [i34]Chau Tran, Yuqing Tang, Xian Li, Jiatao Gu:
Cross-lingual Retrieval for Iterative Self-Supervised Training. CoRR abs/2006.09526 (2020) - [i33]Anne Wu, Changhan Wang, Juan Miguel Pino, Jiatao Gu:
Self-Supervised Representations Improve End-to-End Speech Translation. CoRR abs/2006.12124 (2020) - [i32]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR abs/2007.10985 (2020) - [i31]Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt:
Neural Sparse Voxel Fields. CoRR abs/2007.11571 (2020) - [i30]Xutai Ma, Mohammad Javad Dousti, Changhan Wang, Jiatao Gu, Juan Miguel Pino:
SimulEval: An Evaluation Toolkit for Simultaneous Translation. CoRR abs/2007.16193 (2020) - [i29]Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan:
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning. CoRR abs/2008.00401 (2020) - [i28]Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier:
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation. CoRR abs/2011.00747 (2020) - [i27]Chunting Zhou, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. CoRR abs/2011.02593 (2020) - [i26]Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu:
Facebook AI's WMT20 News Translation Task Submission. CoRR abs/2011.08298 (2020) - [i25]Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma:
CLEAR: Contrastive Learning for Sentence Representation. CoRR abs/2012.15466 (2020) - [i24]Jiatao Gu, Xiang Kong:
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade. CoRR abs/2012.15833 (2020)
2010 – 2019
- 2019
- [j3]Jiatao Gu, Qi Liu, Kyunghyun Cho:
Insertion-based Decoding with Automatically Inferred Generation Order. Trans. Assoc. Comput. Linguistics 7: 661-676 (2019) - [j2]James Jian Qiao Yu, Wen Yu, Jiatao Gu:
Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 20(10): 3806-3817 (2019) - [j1]James Jian Qiao Yu, Jiatao Gu:
Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder. IEEE Trans. Intell. Transp. Syst. 20(10): 3940-3951 (2019) - [c14]Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li:
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations. ACL (1) 2019: 1258-1268 - [c13]Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu:
VizSeq: a visual analysis toolkit for text generation tasks. EMNLP/IJCNLP (3) 2019: 253-258 - [c12]Juan Pino, Liezl Puzon, Jiatao Gu, Xutai Ma, Arya D. McCarthy, Deepak Gopinath:
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade. IWSLT 2019 - [c11]Jiatao Gu, Changhan Wang, Junbo Zhao:
Levenshtein Transformer. NeurIPS 2019: 11179-11189 - [i23]Jiatao Gu, Qi Liu, Kyunghyun Cho:
Insertion-based Decoding with automatically Inferred Generation Order. CoRR abs/1902.01370 (2019) - [i22]Jiatao Gu, Changhan Wang, Jake Zhao:
Levenshtein Transformer. CoRR abs/1905.11006 (2019) - [i21]Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li:
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations. CoRR abs/1906.01181 (2019) - [i20]Changhan Wang, Kyunghyun Cho, Jiatao Gu:
Neural Machine Translation with Byte-Level Subwords. CoRR abs/1909.03341 (2019) - [i19]Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu:
VizSeq: A Visual Analysis Toolkit for Text Generation Tasks. CoRR abs/1909.05424 (2019) - [i18]Juan Miguel Pino, Liezl Puzon, Jiatao Gu, Xutai Ma, Arya D. McCarthy, Deepak Gopinath:
Leveraging Out-of-Task Data for End-to-End Automatic Speech Translation. CoRR abs/1909.06515 (2019) - [i17]Arya D. McCarthy, Xian Li, Jiatao Gu, Ning Dong:
Improved Variational Neural Machine Translation by Promoting Mutual Information. CoRR abs/1909.09237 (2019) - [i16]Xutai Ma, Juan Miguel Pino, James Cross, Liezl Puzon, Jiatao Gu:
Monotonic Multihead Attention. CoRR abs/1909.12406 (2019) - [i15]Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato:
The Source-Target Domain Mismatch Problem in Machine Translation. CoRR abs/1909.13151 (2019) - [i14]Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato:
Revisiting Self-Training for Neural Sequence Generation. CoRR abs/1909.13788 (2019) - [i13]Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli:
Depth-Adaptive Transformer. CoRR abs/1910.10073 (2019) - [i12]Chunting Zhou, Graham Neubig, Jiatao Gu:
Understanding Knowledge Distillation in Non-autoregressive Machine Translation. CoRR abs/1911.02727 (2019) - 2018
- [c10]Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li:
Neural Machine Translation with Gumbel-Greedy Decoding. AAAI 2018: 5125-5132 - [c9]Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li:
Search Engine Guided Neural Machine Translation. AAAI 2018: 5133-5140 - [c8]Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, Kyunghyun Cho:
Meta-Learning for Low-Resource Neural Machine Translation. EMNLP 2018: 3622-3631 - [c7]Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher:
Non-Autoregressive Neural Machine Translation. ICLR (Poster) 2018 - [c6]Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li:
Universal Neural Machine Translation for Extremely Low Resource Languages. NAACL-HLT 2018: 344-354 - [i11]Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li:
Universal Neural Machine Translation for Extremely Low Resource Languages. CoRR abs/1802.05368 (2018) - [i10]Yong Wang, Xiao-Ming Wu, Qimai Li, Jiatao Gu, Wangmeng Xiang, Lei Zhang, Victor O. K. Li:
Large Margin Few-Shot Learning. CoRR abs/1807.02872 (2018) - [i9]Jiatao Gu, Yong Wang, Yun Chen, Kyunghyun Cho, Victor O. K. Li:
Meta-Learning for Low-Resource Neural Machine Translation. CoRR abs/1808.08437 (2018) - 2017
- [c5]Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li:
Learning to Translate in Real-time with Neural Machine Translation. EACL (1) 2017: 1053-1062 - [c4]Jiatao Gu, Kyunghyun Cho, Victor O. K. Li:
Trainable Greedy Decoding for Neural Machine Translation. EMNLP 2017: 1968-1978 - [c3]Victor O. K. Li, Jacqueline C. K. Lam, Yun Chen, Jiatao Gu:
Deep Learning Model to Estimate Air Pollution Using M-BP to Fill in Missing Proxy Urban Data. GLOBECOM 2017: 1-6 - [i8]Jiatao Gu, Kyunghyun Cho, Victor O. K. Li:
Trainable Greedy Decoding for Neural Machine Translation. CoRR abs/1702.02429 (2017) - [i7]Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li:
Search Engine Guided Non-Parametric Neural Machine Translation. CoRR abs/1705.07267 (2017) - [i6]Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li:
Neural Machine Translation with Gumbel-Greedy Decoding. CoRR abs/1706.07518 (2017) - [i5]Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher:
Non-Autoregressive Neural Machine Translation. CoRR abs/1711.02281 (2017) - 2016
- [c2]Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li:
Incorporating Copying Mechanism in Sequence-to-Sequence Learning. ACL (1) 2016 - [i4]Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li:
Incorporating Copying Mechanism in Sequence-to-Sequence Learning. CoRR abs/1603.06393 (2016) - [i3]Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li:
Learning to Translate in Real-time with Neural Machine Translation. CoRR abs/1610.00388 (2016) - [i2]James Jian Qiao Yu, David J. Hill, Albert Y. S. Lam, Jiatao Gu, Victor O. K. Li:
Intelligent Time-Adaptive Transient Stability Assessment System. CoRR abs/1610.08235 (2016) - 2015
- [c1]Jiatao Gu, Victor O. K. Li:
Efficient Learning for Undirected Topic Models. ACL (2) 2015: 162-167 - [i1]Jiatao Gu, Victor O. K. Li:
Efficient Learning for Undirected Topic Models. CoRR abs/1506.07477 (2015)
Coauthor Index
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