machine learning model

Fast Conformal Prediction Using Conditional Interquantile Intervals AAAI 2026 Hardware Lifecycle-Aware Power Planning in Commercial Hyperscale Datacenters (Operational Systems) OSDI 2026 Doubly Robust Conformalized Survival Analysis with Right-Censored Data ICML 2025 Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics ICML 2025 Position: Machine Learning Models Have a Supply Chain Problem ICML 2025 Understanding Complexity in VideoQA via Visual Program Generation ICML 2025 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning ICML 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 Lessons from Deploying the First Bilingual Peruvian Sign Language - Spanish Online Dictionary COLING 2024 PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining NeurIPS 2024 Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems ICML 2024 Task-Agnostic Machine-Learning-Assisted Inference NeurIPS 2024 Fast Partitioned Learned Bloom Filter NeurIPS 2023 Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models ICML 2023 GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets EMNLP 2023 MEDFAIR: Benchmarking Fairness for Medical Imaging ICLR 2023 Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract) IJCAI 2023 Revisiting inference after prediction JMLR 2023 Specifying and Testing k-Safety Properties for Machine-Learning Models IJCAI 2023 Strategic Data Sharing between Competitors NeurIPS 2023 Impact of Environmental Noise on Alzheimer’s Disease Detection from Speech: Should You Let a Baby Cry? COLING 2022 Impact of Evaluation Methodologies on Code Summarization ACL 2022 Increasing the Cost of Model Extraction with Calibrated Proof of Work ICLR 2022 On the Importance of Difficulty Calibration in Membership Inference Attacks ICLR 2022 A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models NeurIPS 2021