Rundong Gao

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All published works

Action	Title	Year	Authors
+ PDF Chat	Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality	2024	Sishuo Chen Lei Li Shuhuai Ren Rundong Gao Yuanxin Liu Xiaohan Bi Xu Sun Lu Hou
+	FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation	2023	Yuanxin Liu Lei Li Shuhuai Ren Rundong Gao Shicheng Li Sishuo Chen Xu Sun Lu Hou
+	VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models	2023	Shicheng Li Lei Li Shuhuai Ren Yuanxin Liu Yi Liu Rundong Gao Xu Sun Lu Hou
+	Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach	2022	Peiyi Wang Yifan Song Tianyu Liu Rundong Gao Binghuai Lin Yunbo Cao Zhifang Sui
+	Holistic Sentence Embeddings for Better Out-of-Distribution Detection	2022	Sishuo Chen Xiaohan Bi Rundong Gao Xu Sun
+	Holistic Sentence Embeddings for Better Out-of-Distribution Detection	2022	Sishuo Chen Xiaohan Bi Rundong Gao Xu Sun
+	KNAS: Green Neural Architecture Search	2021	Jingjing Xu Liang Zhao Junyang Lin Rundong Gao Xu Sun Hongxia Yang

Common Coauthors

Coauthor	Papers Together
Xu Sun	4
Yuanxin Liu	3
Shuhuai Ren	3
Xiaohan Bi	3
Sishuo Chen	2
Sishuo Chen	2
Yi Liu	1
Tianyu Liu	1
Lei Li	1
Xu Sun	1
Lei Li	1
Junyang Lin	1
Shicheng Li	1
Shicheng Li	1
Lu Hou	1
Binghuai Lin	1
Xu Sun	1
Jingjing Xu	1
Lu Hou	1
Liang Zhao	1
Zhifang Sui	1
Lei Li	1
Yunbo Cao	1
Peiyi Wang	1
Yifan Song	1
Lu Hou	1
Hongxia Yang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	On the Convergence of Decentralized Gradient Descent	2016	Kun Yuan Qing Ling Wotao Yin	1
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	On the difficulty of training Recurrent Neural Networks	2012	Razvan Pascanu Tomáš Mikolov Yoshua Bengio	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	A large annotated corpus for learning natural language inference	2015	Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning	1
+	Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units	2016	Dan Hendrycks Kevin Gimpel	1
+	Instance Normalization: The Missing Ingredient for Fast Stylization	2016	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	1
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	1
+	Designing Neural Network Architectures using Reinforcement Learning	2016	Bowen Baker Otkrist Gupta Nikhil Naik Ramesh Raskar	1
+	Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features	2018	Matteo Pagliardini Prakhar Gupta Martin Jaggi	1
+	Self-Normalizing Neural Networks	2017	Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter	1
+	A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets	2017	Patryk Chrabąszcz Ilya Loshchilov Frank Hutter	1
+	High-dimensional dynamics of generalization error in neural networks	2017	Madhu Advani Andrew Saxe	1
+	Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks	2017	Shiyu Liang Yixuan Li R. Srikant	1
+	SentEval: An Evaluation Toolkit for Universal Sentence Representations	2018	Alexis Conneau Douwe Kiela	1
+	Group Normalization	2018	Yuxin Wu Kaiming He	1
+	Neural Tangent Kernel: Convergence and Generalization in Neural Networks	2018	Arthur Paul Jacot Franck Gabriel Clément Hongler	1
+	Gaussian Error Linear Units (GELUs)	2016	Dan Hendrycks Kevin Gimpel	1
+	Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks	2019	Sanjeev Arora Simon S. Du Wei Hu Zhiyuan Li Ruosong Wang	1
+	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding	2018	Alex Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel Bowman	1
+	Surprises in high-dimensional ridgeless least squares interpolation	2022	Trevor Hastie Andrea Montanari Saharon Rosset Ryan J. Tibshirani	1
+	The Evolved Transformer	2019	David R. So Liang Chen Quoc V. Le	1
+	Deep Unknown Intent Detection with Margin Loss	2019	Ting-En Lin Hua Xu	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+ PDF Chat	Searching for a Robust Neural Architecture in Four GPU Hours	2019	Xuanyi Dong Yi Yang	1
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	Energy and Policy Considerations for Deep Learning in NLP	2019	Emma Strubell Ananya Ganesh Andrew McCallum	1
+ PDF Chat	Progressive Neural Architecture Search	2018	Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Hua Wei Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Murphy	1
+	Multi30K: Multilingual English-German Image Descriptions	2016	Desmond Elliott Stella Frank Khalil Sima’an Lucia Specia	1
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	1
+	Gradient Descent Provably Optimizes Over-parameterized Neural Networks	2018	Simon S. Du Xiyu Zhai Barnabás Póczos Aarti Singh	1
+	Random Search and Reproducibility for Neural Architecture Search	2019	Liam Li Ameet Talwalkar	1
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	1
+	Regularized Evolution for Image Classifier Architecture Search	2019	Esteban Real Alok Aggarwal Yanping Huang Quoc V. Le	1
+ PDF Chat	Wide neural networks of any depth evolve as linear models under gradient descent <sup>*</sup>	2020	Jaehoon Lee Lechao Xiao Samuel S. Schoenholz Yasaman Bahri Roman Novak Jascha Sohl‐Dickstein Jeffrey Pennington	1
+	Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks	2019	Nils Reimers Iryna Gurevych	1
+	DARTS+: Improved Differentiable Architecture Search with Early Stopping	2019	Hanwen Liang Shifeng Zhang Jiacheng Sun Xingqiu He Weiran Huang Kechen Zhuang Zhenguo Li	1
+	DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter	2019	Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf	1
+	Transformers without Tears: Improving the Normalization of Self-Attention	2019	Toan Nguyen Julián Salazar	1
+	An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction	2019	Stefan Larson Anish Mahendran Joseph J. Peper Christopher Clarke Andrew Lee Parker Hill Jonathan K. Kummerfeld Kevin Leach Michael A. Laurenzano Lingjia Tang	1
+	Understanding and Robustifying Differentiable Architecture Search	2020	Arber Zela Thomas Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter	1
+	ALBERT: A Lite BERT for Self-supervised Learning of Language Representations	2019	Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut	1
+	EcoNAS: Finding Proxies for Economical Neural Architecture Search	2020	Dongzhan Zhou Xinchi Zhou Wenwei Zhang Chen Change Loy Shuai Yi Xuesen Zhang Wanli Ouyang	1
+	NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search	2020	Xuanyi Dong Yi Yang	1
+	GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet	2020	Shan You Tao Huang Mingmin Yang Fei Wang Chen Qian Changshui Zhang	1
+	FedNAS: Federated Deep Learning via Neural Architecture Search	2020	Chaoyang He Murali Annavaram Salman Avestimehr	1
+	Noisy Differentiable Architecture Search	2020	Xiangxiang Chu Bo Zhang	1
+	Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach	2020	Jeovane Honório Alves Lucas Ferrari de Oliveira	1
+	Neural Architecture Search without Training	2020	Joseph Mellor Jack Turner Amos Storkey Elliot J. Crowley	1