{"total":34,"rows":[{"id":"2205.13016","title":"BiT: Robustly Binarized Multi-distilled Transformer","created":"2022-05-25","cited_by_count":52,"area":null},{"id":"2108.10394","title":"Dynamic Network Quantization for Efficient Video Inference","created":"2021-08-23","cited_by_count":36,"area":null},{"id":"2105.08952","title":"BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer","created":"2021-05-19","cited_by_count":20,"area":null},{"id":"2205.12268","title":"Wavelet Feature Maps Compression for Image-to-Image CNNs","created":"2022-05-24","cited_by_count":16,"area":null},{"id":"2404.00457","title":"MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks","created":"2024-03-30","cited_by_count":14,"area":null},{"id":"2407.07093","title":"FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation","created":"2024-07-09","cited_by_count":12,"area":null},{"id":"2506.13771","title":"LittleBit: Ultra Low-Bit Quantization via Latent Factorization","created":"2025-05-30","cited_by_count":11,"area":null},{"id":"2106.02241","title":"ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression","created":"2021-06-04","cited_by_count":8,"area":null},{"id":"2412.15846","title":"Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpart","created":"2024-12-20","cited_by_count":6,"area":null},{"id":"2103.01435","title":"Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths","created":"2021-03-02","cited_by_count":5,"area":null},{"id":"2301.00652","title":"Efficient Speech Representation Learning with Low-Bit Quantization","created":"2022-12-14","cited_by_count":5,"area":null},{"id":"2204.02004","title":"Bimodal Distributed Binarized Neural Networks","created":"2022-04-05","cited_by_count":4,"area":null},{"id":"2212.05326","title":"Vertical Layering of Quantized Neural Networks for Heterogeneous Inference","created":"2022-12-10","cited_by_count":4,"area":null},{"id":"2409.09245","title":"Robust Training of Neural Networks at Arbitrary Precision and Sparsity","created":"2024-09-14","cited_by_count":3,"area":null},{"id":"2104.00210","title":"Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer","created":"2021-04-01","cited_by_count":2,"area":null},{"id":"2306.07215","title":"Efficient and Robust Quantization-aware Training via Adaptive Coreset Selection","created":"2023-06-12","cited_by_count":2,"area":null},{"id":"2307.05972","title":"Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models","created":"2023-07-12","cited_by_count":2,"area":null},{"id":"2111.01135","title":"Arch-Net: Model Distillation for Architecture Agnostic Model Deployment","created":"2021-11-01","cited_by_count":1,"area":null},{"id":"2306.04235","title":"MobileNMT: Enabling Translation in 15MB and 30ms","created":"2023-06-07","cited_by_count":1,"area":null},{"id":"2411.00907","title":"On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance","created":"2024-11-01","cited_by_count":1,"area":null},{"id":"2502.19008","title":"Binary Neural Networks for Large Language Model: A Survey","created":"2025-02-26","cited_by_count":1,"area":null},{"id":"2609.39223","title":"QATFactory: A Versatile, Deployment-Aligned Framework for Quantization-aware Training and Distillation of LLMs","created":"2026-09-30","cited_by_count":1,"area":null},{"id":"2407.17412","title":"(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork","created":"2024-07-24","cited_by_count":0,"area":null},{"id":"2507.10059","title":"GeLaCo: An Evolutionary Approach to Layer Compression","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2509.12918","title":"A Novel Compression Framework for YOLOv8: Achieving Real-Time Aerial Object Detection on Edge Devices via Structured Pruning and Channel-Wise Distillation","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2509.26277","title":"Cat: Post-Training Quantization Error Reduction via Cluster-based Affine Transformation","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2601.22660","title":"Layerwise Progressive Freezing Enables STE-Free Training of Deep Binary Neural Networks","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2603.00042","title":"LittleBit-2: Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2603.05964","title":"QATMA: Quantization-Aware Training with Multimodal Alignment for Open-Vocabulary Object Detection","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2603.29768","title":"Big2Small: A Unifying Neural Network Framework for Model Compression","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2605.10210","title":"Nano-U: Efficient Terrain Segmentation for Tiny Robot Navigation","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2606.27759","title":"Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2606.31456","title":"Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2610.04100","title":"Progressive Multi-Ancestor Bit-Depth Distillation","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}