{"total":17,"rows":[{"id":"2111.14826","title":"Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation","created":"2021-11-29","cited_by_count":79,"area":null},{"id":"2111.09136","title":"IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization","created":"2021-11-17","cited_by_count":43,"area":null},{"id":"2111.12273","title":"Sharpness-aware Quantization for Deep Neural Networks","created":"2021-11-24","cited_by_count":25,"area":null},{"id":"2404.00928","title":"Instance-Aware Group Quantization for Vision Transformers","created":"2024-04-01","cited_by_count":25,"area":null},{"id":"2407.11534","title":"LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices","created":"2024-07-16","cited_by_count":11,"area":null},{"id":"2308.07650","title":"EQ-Net: Elastic Quantization Neural Networks","created":"2023-08-15","cited_by_count":10,"area":null},{"id":"2305.08117","title":"MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization","created":"2023-05-14","cited_by_count":6,"area":null},{"id":"2405.05171","title":"Custom Gradient Estimators are Straight-Through Estimators in Disguise","created":"2024-05-08","cited_by_count":6,"area":null},{"id":"2211.08544","title":"Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training","created":"2022-11-12","cited_by_count":2,"area":null},{"id":"2404.19248","title":"Scheduling Weight Transitions for Quantization-Aware Training","created":"2024-04-30","cited_by_count":2,"area":null},{"id":"2309.09887","title":"On Model Explanations with Transferable Neural Pathways","created":"2023-09-18","cited_by_count":1,"area":null},{"id":"2407.12637","title":"Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients","created":"2024-07-17","cited_by_count":1,"area":null},{"id":"2504.17263","title":"Precision Neural Network Quantization via Learnable Adaptive Modules","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2303.02452","title":"Understanding weight-magnitude hyperparameters in training binary networks","created":"2023-03-04","cited_by_count":0,"area":null},{"id":"2503.01639","title":"Cauchy-Schwarz Regularizers","created":"2025-03-03","cited_by_count":0,"area":null},{"id":"2601.20745","title":"HESTIA: A Hessian-Guided Differentiable Quantization-Aware Training Framework for Extremely Low-Bit LLMs","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2606.25087","title":"Neural Network Quantization by Learning Low-Loss Subspaces","created":"2026-06-23","cited_by_count":0,"area":null}],"next_cursor":null}