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Feder Cooper Katherine Lee Matthew Jagielski Milad Nasr Arthur Conmy Eric Wallace David Rolnick Florian Tramer Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (ICML 2024) [Paper] Authors: Patrick Esser Sumith Kulal Andreas Blattmann Rahim Entezari Jonas Mller Harry Saini Yam Levi Dominik Lorenz Axel Sauer Frederic Boesel Dustin Podell Tim Dockhorn Zion English Robin Rombach Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining (ICML 2024) [Paper] Authors: Florian Tramer Gautam Kamath Nicholas Carlini Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing (ICML 2024) [Paper] Authors: Idan Attias Gintare Karolina Dziugaite Mahdi Haghifam Roi Livni Daniel Roy Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo (ICML 2024) [Paper] Authors: Stephen Zhao Rob Brekelmans Alireza Makhzani Roger Grosse Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (ICML 2024) [Paper] Authors: Aaron Lou Chenlin Meng Stefano Ermon DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (ICML 2014) [Paper] Authors: Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Outstanding Papers 2023 [Best Papers] [All Papers] Learning-Rate-Free Learning by D-Adaptation (ICML 2023) [Paper] Authors: Aaron Defazio (FAIR), Konstantin Mishchenko (Samsung AI Center) A Watermark for Large Language Models (ICML 2023) [Paper] Authors: John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein (University of Maryland) Generalization on the Unseen, Logic Reasoning and Degree Curriculum (ICML 2023) [Paper] Authors: Emmanuel Abbe (EPFL, Apple) , Samy Bengio (Apple), Aryo Lotfi (EPFL), Kevin Rizk (EPFL) Adapting to game trees in zero-sum imperfect information games (ICML 2023) [Paper] Authors: Cme Fiegel (CREST, ENSAE, IP Paris), Pierre MENARD (ENS Lyon), Tadashi Kozuno (Omron Sinic X), Remi Munos (Deepmind), Vianney Perchet (CREST, ENSAE, IP Paris and CRITEO AI Lab), Michal Valko (Deepmind) Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (ICML 2023) [Paper] Authors: Vishwaraj Doshi (IQVIA Inc), Jie Hu (North Carolina State University), Do Young Eun (North Carolina State University) Bayesian Design Principles for Frequentist Sequential Learning (ICML 2023) [Paper] Authors: Yunbei Xu, Assaf Zeevi (Columbia University) Learning Fair Representations (ICML 2013) [Paper] Authors: Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, Cynthia Dwork Outstanding Papers 2022 [Best Papers] [All Papers] Do Differentiable Simulators Give Better Policy Gradients (ICML 2022) [Paper] Authors: Hyung Ju Suh Max Simchowitz Kaiqing Zhang Russ Tedrake Causal Conceptions of Fairness and their Consequences (ICML 2022) [Paper] Authors: Hamed Nilforoshan Johann Gaebler Ravi Shroff Sharad Goel G-Mixup: Graph Data Augmentation for Graph Classification (ICML 2022) [Paper] Authors: Xiaotian Han Zhimeng Jiang Ninghao Liu Xia Hu Stable Conformal Prediction Sets (ICML 2022) [Paper] Authors: Eugene Ndiaye Privacy for Free: How does Dataset Condensation Help Privacy

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