Chongli Qin - RankMe

19 papers A* 6A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved). CoRR Chongli Qin, Jost Tobias Springenberg
2023	A*	`conf`	Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples. NeurIPS Marco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
2023	J	`jnl`	On a continuous time model of gradient descent dynamics and instability in deep learning. CoRR Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin
2023	J	`jnl`	On a continuous time model of gradient descent dynamics and instability in deep learning. Trans. Mach. Learn. Res. Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin
2020	A*	`conf`	A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli
2020	A*	`conf`	Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2020	J	`jnl`	Improved protein structure prediction using potentials from deep learning. Nat. Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis
2020	A*	`conf`	Training Generative Adversarial Networks by Solving Ordinary Differential Equations. NeurIPS Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andy Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli
2020	J	`jnl`	Training Generative Adversarial Networks by Solving Ordinary Differential Equations. CoRR Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli
2020	J	`jnl`	Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples. CoRR Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy A. Mann, Pushmeet Kohli
2019	J	`jnl`	Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2019	A*	`conf`	Adversarial Robustness through Local Linearization. NeurIPS Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Adversarial Robustness through Local Linearization. CoRR Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	An Alternative Surrogate Loss for PGD-based Adversarial Testing. CoRR Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli
2019	A	`conf`	Efficient Neural Network Verification with Exactness Characterization. UAI Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli
2019	A*	`conf`	Scalable Verified Training for Provably Robust Image Classification. ICCV Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Arthur Mann, Pushmeet Kohli
2019	—	`conf`	Verification of Non-Linear Specifications for Neural Networks. ICLR (Poster) Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
2019	J	`jnl`	Verification of Non-Linear Specifications for Neural Networks. CoRR Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
2018	J	`jnl`	On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models. CoRR Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy A. Mann, Pushmeet Kohli