DUCKQUANT / THE QUANT & AI DIRECTORY
1,058 resources, ranked by in-directory PageRank
Publication: ZeroQ: A Novel Zero Shot Quantization Framework. Published 2020.
Publication: Matching-oriented Product Quantization For Ad-hoc Retrieval. Published Apr 16, 2021.
Publication: Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis. Published Mar 27, 2023.
Publication: Fully Quantized Image Super-Resolution Networks. Published Nov 29, 2020.
Publication: DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks. Published 2022.
Publication: Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. Published Mar 8, 2022.
Publication: SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings. Published Mar 22, 2023.
Publication: High-Capacity Expert Binary Networks. Published Oct 7, 2020.
Publication: Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network. Published Mar 17, 2021.
Publication: Neural gradients are near-lognormal: improved quantized and sparse training. Published Jun 15, 2020.
Publication: Sparse Quantized Spectral Clustering. Published Oct 3, 2020.
Publication: HAO: Hardware-aware neural Architecture Optimization for Efficient Inference. Published Apr 26, 2021.
Publication: Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. Published May 16, 2021.
Publication: Generative Zero-shot Network Quantization. Published Jan 21, 2021.
Publication: HAWQV3: Dyadic Neural Network Quantization. Published Nov 20, 2020.
Publication: FleXOR: Trainable Fractional Quantization. Published Sep 9, 2020.
Publication: Position-based Scaled Gradient for Model Quantization and Pruning. Published May 22, 2020.
Publication: Efficient Exact Verification of Binarized Neural Networks. Published May 7, 2020.
Publication: Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. Published Jun 4, 2020.
Publication: SIMBA: A Skyrmionic In-Memory Binary Neural Network Accelerator. Published Mar 11, 2020.
Publication: Hierarchical binary CNNs for landmark localization with limited resources. Published Aug 14, 2018.
Publication: Any-Precision Deep Neural Networks. Published Nov 17, 2019.
Publication: Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference. Published Feb 22, 2021.
Publication: BoolNet: Minimizing The Energy Consumption of Binary Neural Networks. Published Jun 13, 2021.
Publication: Dynamic Precision Analog Computing for Neural Networks. Published Feb 12, 2021.
Publication: Confounding Tradeoffs for Neural Network Quantization. Published Feb 12, 2021.
Publication: Pruning and Quantization for Deep Neural Network Acceleration: A Survey. Published Jan 24, 2021.
Publication: End to End Binarized Neural Networks for Text Classification. Published Oct 11, 2020.
Publication: Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization. Published Jul 20, 2020.
Publication: Quantization Guided JPEG Artifact Correction. Published Apr 17, 2020.
Publication: QUEST: Quantized embedding space for transferring knowledge. Published Dec 3, 2019.
Publication: PAMS: Quantized Super-Resolution via Parameterized Max Scale. Published Nov 9, 2020.
Publication: HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs. Published Jul 20, 2020.
Publication: Generative Low-bitwidth Data Free Quantization. Published Mar 7, 2020.
Publication: Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes. Published Jul 15, 2020.
Publication: Differentiable Joint Pruning and Quantization for Hardware Efficiency. Published Jul 20, 2020.
