Optimization & Theory

You Only Condense Once: Two Rules for Pruning Condensed Datasets NeurIPS 2023 Zero-Cost Operation Scoring in Differentiable Architecture Search AAAI 2023 Zero-Shot Model Diagnosis CVPR 2023 Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation ICLR 2023 ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking NeurIPS 2023 α-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay NeurIPS 2022 3DAC: Learning Attribute Compression for Point Clouds CVPR 2022 3DeformRS: Certifying Spatial Deformations on Point Clouds CVPR 2022 3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation ICML 2022 8-bit Optimizers via Block-wise Quantization ICLR 2022 Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022 Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling NeurIPS 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022 Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization Interspeech 2022 Accelerating Inference for Pretrained Language Models by Unified Multi-Perspective Early Exiting COLING 2022 Accelerating Sparse Convolution with Column Vector-Wise Sparsity NeurIPS 2022 A Classification of G-invariant Shallow Neural Networks NeurIPS 2022 A Closer Look at Parameter Contributions When Training Neural Language and Translation Models COLING 2022 A Closer Look at the Adversarial Robustness of Deep Equilibrium Models NeurIPS 2022 A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks NeurIPS 2022 A Comparative Study of Faithfulness Metrics for Model Interpretability Methods ACL 2022 A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking NeurIPS 2022 A Computable Definition of the Spectral Bias AAAI 2022 A Consistent and Differentiable Lp Canonical Calibration Error Estimator NeurIPS 2022