Showing 21–40 of 110 results
/ Date/ Name
Sep 18, 2020Encoding Robustness to Image Style via Adversarial Feature PerturbationsSep 29, 2021Stochastic Training is Not Necessary for GeneralizationFeb 22, 2021The Uncanny Similarity of Recurrence and DepthApr 18, 2021The Intrinsic Dimension of Images and Its Impact on LearningJan 22, 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextJun 7, 2023On the Reliability of Watermarks for Large Language ModelsNov 10, 2025Teaching Pretrained Language Models to Think Deeper with Retrofitted RecurrenceMay 23, 2019Adversarially Robust DistillationMar 2, 2021DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data AugmentationsOct 11, 2020An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review ProcessMar 15, 2022A Deep Dive into Dataset Imbalance and Bias in Face IdentificationJun 29, 2023Seeing in Words: Learning to Classify through Language BottlenecksOct 17, 2022Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated LearningFeb 7, 2023Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryJun 30, 2022Transfer Learning with Deep Tabular ModelsApr 11, 2023The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine LearningOct 6, 2022The Lie Derivative for Measuring Learned EquivarianceJul 22, 2025Zebra-CoT: A Dataset for Interleaved Vision Language ReasoningJun 27, 2024LiveBench: A Challenging, Contamination-Limited LLM BenchmarkOct 15, 2021Comparing Human and Machine Bias in Face Recognition