On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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3 results for “ONNX”

QONNX: Representing Arbitrary-Precision Quantized Neural Networkscs.LG

Extends ONNX for quantized neural networks with new formats and operators.

problem Handling arbitrary-precision quantization in neural networks.

method Introduces new formats and operators in ONNX to represent quantized neural networks.

result Enabled representation of uniform quantization in neural networks.

quantized neural networks ONNX arbitrary precision quantization clipping

2022-06-15abs ↗pdf ↗

Benanza: Automatic

μ

Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUscs.LG

Benanza speeds up DL model optimization by automatically generating micro-benchmarks and identifying inefficiencies.

problem Slow characterization/optimization cycles for DL models on GPUs.

method Benanza includes a model processor, benchmark generator, database, and analyzer.

result Benanza identifies optimizations in parallel layer execution, cuDNN, framework inefficiency, layer fusion, and Tensor Cores.

Deep Learning Latency Optimization Benchmarking GPU DL Models

2019-11-16abs ↗pdf ↗

Tribuo: Machine Learning with Provenance in Javacs.LG

Tribuo integrates ML models with provenance in Java.

problem Tracking and ensuring ML models behave appropriately as they grow in number and complexity.

method Integrates model training, inference, type-safety, runtime checking, and automatic provenance recording into a single Java library.

result Automatic recording of full processing pipeline and training details inside the model object.

machine learning provenance Java model tracking regulatory compliance

2021-10-06abs ↗pdf ↗