---
markdown_generated_at: "2026-10-14"
title: "Papers with code"
url: "https://www.qualcomm.com/research/artificial-intelligence/papers-with-code"
description: "Read 4 research papers with included code, published by Qualcomm’s AI research team. Papers are on video processing, video recognition, NN, SBAS."
canonicalUrl: "https://www.qualcomm.com/research/artificial-intelligence/papers-with-code"
---

# Papers with code

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/v2-paper1_icon?$QC_Responsive$&fmt=png-alpha)

#### FrameExit

**FrameExit: Conditional Early Exiting for Efficient Video Recognition**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-1)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/v2-paper2_icon?$QC_Responsive$&fmt=png-alpha)

#### InverseForm

**InverseForm: A Loss Function for Structured Boundary-Aware Segmentation**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-2)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/v2-paper3_icon?$QC_Responsive$&fmt=png-alpha)

#### Skip-Convolutions

**Skip-Convolutions for Efficient Video Processing (CVPR 2021)**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-3)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/icon-paper-4_v2?$QC_Responsive$&fmt=png-alpha)

#### Probabilistic Numeric CNNs

**Probabilistic Numeric Convolutional Neural Networks**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-4)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/Papers-with-Code-Efficient-Transformer-Quantization-480x126?$QC_Responsive$&fmt=png-alpha)

#### Efficient Transformer Quantization

Understanding and Overcoming the Challenges of Efficient Transformer Quantization](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-5)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/Papers-with-Code-Gauge-Equivariant-Mesh-CNNs-480x126?$QC_Responsive$&fmt=png-alpha)

#### Gauge Equivariant Mesh CNNs

Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-6)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/Papers-with-Code-Bayesian-Bits-480x126?$QC_Responsive$&fmt=png-alpha)

#### Bayesian Bits

**Bayesian Bits: Unifying Quantization and Pruning**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-7)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/paper-8-v4?$QC_Responsive$&fmt=png-alpha)

#### Delta Distillation for Efficient Video Processing

**Delta Distillation for Efficient Video Processing**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-8)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/paper-9-v4?$QC_Responsive$&fmt=png-alpha)

#### Weakly supervised causal representation learning

**Weakly supervised causal representation learning**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-9)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/paper-10-v4?$QC_Responsive$&fmt=png-alpha)

#### Broadcasted residual learning for efficient keyword spotting

**Broadcasted residual learning for efficient keyword spotting**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-10)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/paper-11-v4?$QC_Responsive$&fmt=png-alpha)

#### FP8 Quantization: The Power of the Exponent

**FP8 Quantization: The Power of the Exponent**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-11)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/paper-12-v4?$QC_Responsive$&fmt=png-alpha)

#### MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers

**MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-12)

[![](https://s7d1.scene7.com/is/image/dmqualcommprod/paper-13-v4?$QC_Responsive$&fmt=png-alpha)

#### Geometric Algebra Transformers

**Geometric Algebra Transformers**](https://www.qualcomm.com/research/artificial-intelligence/papers-with-code/paper-13)

Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc.