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Papers (including subtopics)

Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks NeurIPS 2023 SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions NeurIPS 2023 Solving a Class of Non-Convex Minimax Optimization in Federated Learning NeurIPS 2023 Solving Constrained Variational Inequalities via a First-order Interior Point-based Method ICLR 2023 Solving Explainability Queries with Quantification: The Case of Feature Relevancy AAAI 2023 Solving multi-model MDPs by coordinate ascent and dynamic programming UAI 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023 Solving stochastic weak Minty variational inequalities without increasing batch size ICLR 2023 Some General Identification Results for Linear Latent Hierarchical Causal Structure IJCAI 2023 Some Might Say All You Need Is Sum IJCAI 2023 SONGs: Self-Organizing Neural Graphs WACV 2023 Sorting with Predictions NeurIPS 2023 SOTASTREAM: A Streaming Approach to Machine Translation Training EMNLP 2023 SoTTA: Robust Test-Time Adaptation on Noisy Data Streams NeurIPS 2023 Sound Randomized Smoothing in Floating-Point Arithmetic ICLR 2023 SP2 : A Second Order Stochastic Polyak Method ICLR 2023 SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference ICCV 2023 SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation ICCV 2023 Sparse Bayesian optimization AISTATS 2023 Sparse GCA and Thresholded Gradient Descent JMLR 2023 Sparse Graph Learning from Spatiotemporal Time Series JMLR 2023 Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach ICML 2023 Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023 SparseMAE: Sparse Training Meets Masked Autoencoders ICCV 2023 Sparse Markov Models for High-dimensional Inference JMLR 2023