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Publication search results
found 11,191 matches
- 2023
- Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang:
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. ICML 2023: 36411-36430 - Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan:
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. ICML 2023: 28976-29008 - Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. ICML 2023: 39639-39659 - Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. ICML 2023: 21288-21311 - Antonios Antoniadis, Joan Boyar, Marek Eliás, Lene Monrad Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, Bertrand Simon:
Paging with Succinct Predictions. ICML 2023: 952-968 - Abhijeet Vyas, Brian Bullins, Kamyar Azizzadenesheli:
Competitive Gradient Optimization. ICML 2023: 35243-35276 - Nikola Jovanovic, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin T. Vechev:
FARE: Provably Fair Representation Learning with Practical Certificates. ICML 2023: 15401-15420 - Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Mixing Predictions for Online Metric Algorithms. ICML 2023: 969-983 - David Chiang, Peter Cholak, Anand Pillay:
Tighter Bounds on the Expressivity of Transformer Encoders. ICML 2023: 5544-5562 - Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe:
WL meet VC. ICML 2023: 25275-25302 - Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff
, Eric Moulines, Jimmy Olsson:
State and parameter learning with PARIS particle Gibbs. ICML 2023: 3625-3675 - Jonas Köhler, Michele Invernizzi, Pim de Haan, Frank Noé:
Rigid Body Flows for Sampling Molecular Crystal Structures. ICML 2023: 17301-17326 - Jinseong Park
, Hoki Kim, Yujin Choi, Jaewook Lee:
Differentially Private Sharpness-Aware Training. ICML 2023: 27204-27224 - Zhijian Duan, Yunxuan Ma, Xiaotie Deng:
Are Equivariant Equilibrium Approximators Beneficial? ICML 2023: 8747-8778 - Andreas Munk, Alexander Mead, Frank Wood:
Uncertain Evidence in Probabilistic Models and Stochastic Simulators. ICML 2023: 25486-25500 - Keyi Chen, Francesco Orabona:
Generalized Implicit Follow-The-Regularized-Leader. ICML 2023: 4826-4838 - Wonyeol Lee, Sejun Park, Alex Aiken:
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters. ICML 2023: 19094-19140 - Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha:
Stratified Adversarial Robustness with Rejection. ICML 2023: 4867-4894 - Yuning Cui, Wenqi Ren, Sining Yang, Xiaochun Cao, Alois Knoll:
IRNeXt: Rethinking Convolutional Network Design for Image Restoration. ICML 2023: 6545-6564 - Soumya Basu, Ankit Singh Rawat, Manzil Zaheer:
A Statistical Perspective on Retrieval-Based Models. ICML 2023: 1852-1886 - Melanie Weber, Suvrit Sra:
Global optimality for Euclidean CCCP under Riemannian convexity. ICML 2023: 36790-36803 - Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma:
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing. ICML 2023: 38611-38654 - He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla:
Transformed Distribution Matching for Missing Value Imputation. ICML 2023: 42159-42186 - Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Sequential Strategic Screening. ICML 2023: 6279-6295 - Daniel Severo, James Townsend, Ashish J. Khisti, Alireza Makhzani:
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding. ICML 2023: 30633-30645 - Daniel D. Johnson, Daniel Tarlow, Christian Walder:
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. ICML 2023: 15262-15306 - Fanghui Liu, Luca Viano, Volkan Cevher:
What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023: 22063-22091 - Chris Lu, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster:
Adversarial Cheap Talk. ICML 2023: 22917-22941 - Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. ICML 2023: 12511-12526
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