quantization

FrameQuant: Flexible Low-Bit Quantization for Transformers ICML 2024 Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization ICML 2024 KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache ICML 2024 Provable Privacy with Non-Private Pre-Processing ICML 2024 Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation ICML 2024 QuIP$#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks ICML 2024 Residual Quantization with Implicit Neural Codebooks ICML 2024 RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation ICML 2024 SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic ICML 2024 Soft Prompt Recovers Compressed LLMs, Transferably ICML 2024 SqueezeLLM: Dense-and-Sparse Quantization ICML 2024 Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning ICML 2024 Winner-takes-all learners are geometry-aware conditional density estimators ICML 2024 VRU Pose-SSD: Multiperson Pose Estimation For Automated Driving AAAI 2021 HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks NeurIPS 2020 Angular Quantization-based Binary Codes for Fast Similarity Search NeurIPS 2012 Isotropic Hashing NeurIPS 2012 Learning Probability Measures with respect to Optimal Transport Metrics NeurIPS 2012