Latest papers

CardsList

29 papers8 papers in the last four weeks, up 167% on the four weeks before. 0.1% of all new papers.

  1. CodeQuant2: Enhanced Outlier Mitigation and Adaptive Clustering for Low-Precision LRMs

    Nov 6, 2026Xingyu Liu, Xiangyang Yin, Tianhua Xia +2LLM QuantizationNeural Network Quantization

  2. SPA-Q: Structure-Preserving Adaptive Post-Training Quantization for Monocular Depth Estimation

    Nov 3, 2026Jaemin Choi, Jincheol Yang, Nahyun Lim +4Post-Training QuantizationMonocular Depth Estimation

  3. AxisQ: Depth-Adaptive Channel--Frequency Quantization for Camouflaged Object Detection

    Oct 27, 2026Chi Ruan, Tianqi Li, Xin He +3Post-Training QuantizationAdaptive Quantization

  4. Let the Gate Decide: Per-Lookup Precision for Quantized Conditional Memory in LLMs

    Oct 26, 2026Tianqi Chen, Xunchao Li, Linchuan Xie +4Memory-Augmented Language ModelsLLM Quantization

  5. Different Tasks, Different Timesteps: Temporal Task-Aware Quantization for Diffusion Language Models

    Oct 22, 2026Ofek Avivi, Eliron Rahimi, Avi Mendelson +1Neural Network QuantizationMixed-Precision Quantization

  6. Q-PACE: Dynamic Precision Allocation for Quantization-Aware Training

    Oct 6, 2026Alexandra Volkova, Matin Ansaripour, Erik Schultheis +2LLM QuantizationQuantization-Aware Training

  7. Beyond Uniform Compression: Budgeted Transmission Allocation for Extreme Federated Learning

    Sep 30, 2026Pengfei Li, Mohammad KhalilCommunication-Efficient Distributed TrainingLow-Rank Compression

  8. Precision As You Need: Stochastic Computing Is a Dense Adaptive Quantizer

    Sep 26, 2026Haoran Jin, Kangqi Zhang, Jirong Yang +4Adaptive QuantizationEfficient Transformer Inference

  9. Entropy-Constrained Adaptive Stochastic Quantization

    Aug 10, 2026Ran Ben Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher +1Adaptive QuantizationNeural Network Quantization

  10. APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning

    Aug 6, 2026Sadegh Jafari, Mohiuddin Bilwal, Fan Zhou +2Model CompressionMixed-Precision Quantization

  11. TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models

    Aug 4, 2026Seokho Han, Dongwei Wang, Jinhee Kim +4Weight-Only QuantizationMixed-Precision Quantization

  12. Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding

    Jul 11, 2026Qihan Xu, Ivan V. BajićLearned Image CompressionRate-Distortion Optimization

  13. Training-Free Continuous Bitrate Control for Scalable Image Coding for Humans and Machines

    May 29, 2026Yui Tatsumi, Hiroshi WatanabeLearned Image CompressionAdaptive Quantization

  14. ActQuant: Sub-4-bit Action-Guided Backbone Weight-Only Quantization for Vision-Language-Action Models

    May 19, 2026Arash Akbari, Arman Akbari, Masih Eskandar +11Neural Network QuantizationVLM Quantization

  15. Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy

    Apr 25, 2026Emre Ardıç, Yakup GençNon-IID Federated LearningDifferentially Private Federated Learning

  16. RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory

    Apr 22, 2026Fei Zuo, Zikang Zhou, Hao Cong +2LLM Inference EfficiencyMixed-Precision Quantization

  17. DeFakeQ: Enabling Real-Time Deepfake Detection on Edge Devices via Adaptive Bidirectional Quantization

    Apr 10, 2026Xiangyu Li, Yujing Sun, Yuhang Zheng +2Adaptive QuantizationDeepfake Detection

  18. You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations

    Nov 9, 2025Amit LeVi, Raz Lapid, Rom Himelstein +3Neural Network QuantizationMixed-Precision Quantization

  19. FedHQ: Hybrid Runtime Quantization for Federated Learning

    May 17, 2025Zihao Zheng, Ziyao Wang, Jiawei Yang +7Federated LearningAdaptive Quantization

  20. Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression

    Nov 25, 2024Xi Zhang, Xiaolin WuVector QuantizationLearned Image Compression