ML Anthology

Dennis, Don

8 publications

TMLR 2025 Agreement-Based Cascading for Efficient Inference Steven Kolawole, Don Dennis, Ameet Talwalkar, Virginia Smith
ICMLW 2024 Revisiting Cascaded Ensembles for Efficient Inference Steven Kolawole, Don Dennis, Ameet Talwalkar, Virginia Smith
ICLR 2023 Bitrate-Constrained DRO: Beyond Worst Case Robustness to Unknown Group Shifts Amrith Setlur, Don Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine
NeurIPS 2023 Progressive Ensemble Distillation: Building Ensembles for Efficient Inference Don Dennis, Abhishek Shetty, Anish Prasad Sevekari, Kazuhito Koishida, Virginia Smith
ICMLW 2023 Progressive Knowledge Distillation: Balancing Inference Latency and Accuracy at Runtime Don Dennis, Abhishek Shetty, Anish Sevekari, Kazuhito Koishida, Virginia Smith
NeurIPSW 2022 Bitrate-Constrained DRO: Beyond Worst Case Robustness to Unknown Group Shifts Amrith Setlur, Don Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine
NeurIPS 2019 Shallow RNN: Accurate Time-Series Classification on Resource Constrained Devices Don Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain
NeurIPS 2018 Multiple Instance Learning for Efficient Sequential Data Classification on Resource-Constrained Devices Don Dennis, Chirag Pabbaraju, Harsha Vardhan Simhadri, Prateek Jain