Showing 1–19 of 19 results
/ Date/ Name
Jun 22, 2020HNHN: Hypergraph Networks with Hyperedge NeuronsOct 9, 2019Scalable Nearest Neighbor Search for Optimal TransportJun 6, 2024Learned Feature Importance Scores for Automated Feature EngineeringJun 1, 2025Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the TransformerMay 3, 2020A Study of Performance of Optimal TransportMar 5, 2021Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with DepthJun 11, 2020CoinPress: Practical Private Mean and Covariance EstimationJan 24, 2019Learning Space Partitions for Nearest Neighbor SearchApr 6, 2023SLM: End-to-end Feature Selection via Sparse Learnable MasksMar 9, 2020COPT: Coordinated Optimal Transport for Graph SketchingApr 3, 2019SANNS: Scaling Up Secure Approximate k-Nearest Neighbors SearchJun 26, 2019Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier DetectionAug 16, 2024AdaRank: Disagreement Based Module Rank Prediction for Low-rank AdaptationJun 20, 2025Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs?Nov 1, 2023COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised LearningOct 7, 2022Koopman Neural Forecaster for Time Series with Temporal Distribution ShiftsMay 26, 2023LANISTR: Multimodal Learning from Structured and Unstructured DataJan 3, 2025Metadata Conditioning Accelerates Language Model Pre-trainingMay 8, 2026When Independent Sampling Outperforms Agentic Reasoning