Showing 1–18 of 18 results
/ Date/ Name
Feb 5, 2019Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue SummarizationNov 24, 2023An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image ClassificationDec 28, 2021HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and ComputationMay 28, 2024The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model MultiplicityNov 17, 2024Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in MLJul 2, 2024Towards More Realistic Extraction Attacks: An Adversarial PerspectiveAug 14, 2025SoK: Data Minimization in Machine LearningSep 5, 2018VLSTM: Very Long Short-Term Memory Networks for High-Frequency TradingMay 29, 2024The Data Minimization Principle in Machine LearningJan 24, 2025Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine LearningOct 24, 2025Data as a Lever: A Neighbouring Datasets Perspective on Predictive MultiplicityFeb 27, 2020Compressing Large-Scale Transformer-Based Models: A Case Study on BERTFeb 5, 2019Literature Survey on Finding Influential Communities in Large Scale NetworksJul 9, 2023On The Impact of Machine Learning Randomness on Group FairnessJan 31, 2026Rethinking Hallucinations: Correctness, Consistency, and Prompt MultiplicityOct 26, 2021YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUsMay 6, 2025Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing FrameworkAug 4, 2021Free Lunch for Co-Saliency Detection: Context Adjustment