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Apple Machine Learning Research
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Apple Machine Learning Research - Software

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Apple Machine Learning Research

25.04.2025

An LLM-Based Approach to Review Summarization on the App Store - Apple Machine Learning Research

Ratings and reviews are an invaluable resource for users exploring an app on the App Store, providing insights into how others have…

Apple Machine Learning Research

25.04.2025

How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions - Apple Machine Learning Research

As statistical analyses become more central to science, industry and society, there is a growing need to ensure correctness of their…

Apple Machine Learning Research

22.04.2025

ACM Human-Computer Interaction Conference (CHI) 2025 - Apple Machine Learning Research

Apple is presenting new research at the ACM annual conference on Human-Computer Interaction (CHI)], which takes place in person in Yokohama…

Apple Machine Learning Research

22.04.2025

Apple Machine Learning Research at ICLR 2025 - Apple Machine Learning Research

Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the world’s understanding of this…

Apple Machine Learning Research

20.04.2025

Scaling Diffusion Language Models via Adaptation from Autoregressive Models - Apple Machine Learning Research

Diffusion Language Models (DLMs) have emerged as a promising new paradigm for text generative modeling, potentially addressing limitations…

Apple Machine Learning Research

19.04.2025

International Conference on Learning Representations (ICLR) 2025 - Apple Machine Learning Research

Apple will be sponsoring the International Conference on Learning Representations (ICLR), which will take place in person from April 24 to…

Apple Machine Learning Research

19.04.2025

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization - Apple Machine Learning Research

Direct Preference Optimization (DPO) has been widely adopted for preference alignment of Large Language Models (LLMs) due to its simplicity…

Apple Machine Learning Research

19.04.2025

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation - Apple Machine Learning Research

Diffusion models have become the dominant approach for visual generation. They are trained by denoising a Markovian process which gradually…

Apple Machine Learning Research

19.04.2025

FastVLM: Efficient Vision encoding for Vision Language Models - Apple Machine Learning Research

Scaling the input image resolution is essential for enhancing the performance of Vision Language Models (VLMs), particularly in text-rich…

Apple Machine Learning Research

18.04.2025

Disentangled Representational Learning with the Gromov-Monge Gap - Apple Machine Learning Research

Learning disentangled representations from unlabelled data is a fundamental challenge in machine learning. Solving it may unlock other…

Apple Machine Learning Research

18.04.2025

CoMotion: Concurrent Multi-Person 3D Motion - Apple Machine Learning Research

We introduce an approach for detecting and tracking detailed 3D poses of multiple people from a single monocular camera stream. Our system…

Apple Machine Learning Research

17.04.2025

Scaling Laws for Native Multimodal Models - Apple Machine Learning Research

Building general-purpose models that can effectively perceive the world through multimodal signals has been a long-standing goal. Current…

Apple Machine Learning Research

17.04.2025

Step-by-Step Diffusion: An Elementary Tutorial - Apple Machine Learning Research

We present an accessible first course on the mathematics of diffusion models and flow matching for machine learning. We aim to teach…

Apple Machine Learning Research

17.04.2025

EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing - Apple Machine Learning Research

Diffusion transformers have been widely adopted for text-to-image synthesis. While scaling these models up to billions of parameters shows…

Apple Machine Learning Research

16.04.2025

FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations - Apple Machine Learning Research

This paper was accepted at the Workshop on Foundation Models in the Wild at ICLR 2025. Visual understanding is inherently contextual - what…

Apple Machine Learning Research

15.04.2025

Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy - Apple Machine Learning Research

At Apple, we believe privacy is a fundamental human right. And we believe in giving our users a great experience while protecting their…

Apple Machine Learning Research

15.04.2025

Language Models Know More Than They Show: Exploring Hallucinations From the Model's Viewpoint - Apple Machine Learning Research

Large language models (LLMs) often produce errors, including factual inaccuracies, biases, and reasoning failures, collectively referred to…

Apple Machine Learning Research

12.04.2025

Simple ReFlow: Improved Techniques for Fast Flow Models - Apple Machine Learning Research

Diffusion and flow-matching models achieve remarkable generative performance but at the cost of many sampling steps, this slows inference…

Apple Machine Learning Research

12.04.2025

The AdEMAMix Optimizer: Better, Faster, Older - Apple Machine Learning Research

Momentum based optimizers are central to a wide range of machine learning applications. These typically rely on an Exponential Moving…

Apple Machine Learning Research

12.04.2025

Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling - Apple Machine Learning Research

Specialist language models (LMs) focus on a specific task or domain on which they often outperform generalist LMs of the same size. However…

Apple Machine Learning Research

11.04.2025

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data - Apple Machine Learning Research

We present RelCon, a novel self-supervised Relative Contrastive learning approach for training a motion foundation model from wearable…

Apple Machine Learning Research

11.04.2025

Do LLMs Know Internally When They Follow Instructions? - Apple Machine Learning Research

Instruction-following is crucial for building AI agents with large language models (LLMs), as these models must adhere strictly to…

Apple Machine Learning Research

11.04.2025

Controlling Language and Diffusion Models by Transporting Activations - Apple Machine Learning Research

Large generative models are becoming increasingly capable and more widely deployed to power production applications, but getting these…

Apple Machine Learning Research

11.04.2025

Adaptive Batch Size for Privately Finding Second-order Stationary Points - Apple Machine Learning Research

There is a gap between finding a first-order stationary point (FOSP) and a second-order stationary point (SOSP) under differential privacy…

Apple Machine Learning Research

11.04.2025

MM-Ego: Towards Building Egocentric Multimodal LLMs - Apple Machine Learning Research

This research aims to comprehensively explore building a multimodal foundation model for egocentric video understanding. To achieve this…

Apple Machine Learning Research

11.04.2025

MircoNN: An On-device Disk Resident Updatable Vector Database - Apple Machine Learning Research

Nearest neighbour search over dense vector collections has important applications in information retrieval, retrieval augmented generation…

Apple Machine Learning Research

10.04.2025

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining - Apple Machine Learning Research

This paper was accepted at the Scalable Continual Learning for Lifelong Foundation Models (SCLLFM) Workshop at NeurIPS 2024. Large Language…

Apple Machine Learning Research

10.04.2025

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms - Apple Machine Learning Research

Building a generalist model for user interface (UI) understanding is challenging due to various foundational issues, such as platform…

Apple Machine Learning Research

09.04.2025

Do LLMs Estimate Uncertainty Well in Instruction-Following? - Apple Machine Learning Research

Large language models (LLMs) could be valuable personal AI agents across various domains, provided they can precisely follow user…

Apple Machine Learning Research

09.04.2025

Revisit Large-Scale Image–Caption Data in Pre-training Multimodal Foundation Models - Apple Machine Learning Research

Recent advancements in multimodal models highlight the value of rewritten captions for improving performance, yet key challenges remain…

Apple Machine Learning Research

08.04.2025

Apple Workshop on Natural Language Understanding 2024 - Apple Machine Learning Research

Progress in natural language processing enables more intuitive ways of interacting with technology. For example, many of Apple’s products…

Apple Machine Learning Research

05.04.2025

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators - Apple Machine Learning Research

Large Language Models (LLMs) have transformed natural language processing, but face significant challenges in widespread deployment due to…

Apple Machine Learning Research

03.04.2025

Interpreting and Improving Optimal Control Problems With Directional Corrections - Apple Machine Learning Research

Many robotics tasks, such as path planning or trajectory optimization, are formulated as optimal control problems (OCPs). The key to…

Apple Machine Learning Research

03.04.2025

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization - Apple Machine Learning Research

In this work, we propose Mutual Reinforcing Data Synthesis (MRDS) within LLMs to improve few-shot dialogue summarization task. Unlike prior…

Apple Machine Learning Research

03.04.2025

Modeling Speech Emotion With Label Variance and Analyzing Performance Across Speakers and Unseen Acoustic Conditions - Apple Machine Learning Research

Spontaneous speech emotion data usually contain perceptual grades where graders assign emotion score after listening to the speech files…

Apple Machine Learning Research

02.04.2025

Universally Instance-Optimal Mechanisms for Private Statistical Estimation - Apple Machine Learning Research

We consider the problem of instance-optimal statistical estimation under the constraint of differential privacy where mechanisms must adapt…

Apple Machine Learning Research

02.04.2025

The Role of Prosody in Spoken Question Answering - Apple Machine Learning Research

Spoken language understanding research to date has generally carried a heavy text perspective. Most datasets are derived from text, which is…

Apple Machine Learning Research

01.04.2025

VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level - Apple Machine Learning Research

Effective error analysis is critical for the successful development and deployment of CVML models. One approach to understanding model…

Apple Machine Learning Research

01.04.2025

International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025 - Apple Machine Learning Research

Apple is sponsoring the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), which takes place in person from…

Apple Machine Learning Research

26.03.2025

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation - Apple Machine Learning Research

Data augmentation is crucial to make machine learning models more robust and safe. However, augmenting data can be challenging as it…

home›Apple Machine Learning Research›Software

Apple Machine Learning Research - Software

An LLM-Based Approach to Review Summarization on the App Store - Apple Machine Learning Research

How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions - Apple Machine Learning Research

ACM Human-Computer Interaction Conference (CHI) 2025 - Apple Machine Learning Research

Apple Machine Learning Research at ICLR 2025 - Apple Machine Learning Research

Scaling Diffusion Language Models via Adaptation from Autoregressive Models - Apple Machine Learning Research

International Conference on Learning Representations (ICLR) 2025 - Apple Machine Learning Research

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization - Apple Machine Learning Research

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation - Apple Machine Learning Research

FastVLM: Efficient Vision encoding for Vision Language Models - Apple Machine Learning Research

Disentangled Representational Learning with the Gromov-Monge Gap - Apple Machine Learning Research

CoMotion: Concurrent Multi-Person 3D Motion - Apple Machine Learning Research

Scaling Laws for Native Multimodal Models - Apple Machine Learning Research

Step-by-Step Diffusion: An Elementary Tutorial - Apple Machine Learning Research

EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing - Apple Machine Learning Research

FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations - Apple Machine Learning Research

Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy - Apple Machine Learning Research

Language Models Know More Than They Show: Exploring Hallucinations From the Model's Viewpoint - Apple Machine Learning Research

Simple ReFlow: Improved Techniques for Fast Flow Models - Apple Machine Learning Research

The AdEMAMix Optimizer: Better, Faster, Older - Apple Machine Learning Research

Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling - Apple Machine Learning Research

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data - Apple Machine Learning Research

Do LLMs Know Internally When They Follow Instructions? - Apple Machine Learning Research

Controlling Language and Diffusion Models by Transporting Activations - Apple Machine Learning Research

Adaptive Batch Size for Privately Finding Second-order Stationary Points - Apple Machine Learning Research

MM-Ego: Towards Building Egocentric Multimodal LLMs - Apple Machine Learning Research

MircoNN: An On-device Disk Resident Updatable Vector Database - Apple Machine Learning Research

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining - Apple Machine Learning Research

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms - Apple Machine Learning Research

Do LLMs Estimate Uncertainty Well in Instruction-Following? - Apple Machine Learning Research

Revisit Large-Scale Image–Caption Data in Pre-training Multimodal Foundation Models - Apple Machine Learning Research

Apple Workshop on Natural Language Understanding 2024 - Apple Machine Learning Research

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators - Apple Machine Learning Research

Interpreting and Improving Optimal Control Problems With Directional Corrections - Apple Machine Learning Research

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization - Apple Machine Learning Research

Modeling Speech Emotion With Label Variance and Analyzing Performance Across Speakers and Unseen Acoustic Conditions - Apple Machine Learning Research

Universally Instance-Optimal Mechanisms for Private Statistical Estimation - Apple Machine Learning Research

The Role of Prosody in Spoken Question Answering - Apple Machine Learning Research

VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level - Apple Machine Learning Research

International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025 - Apple Machine Learning Research

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation - Apple Machine Learning Research

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Apple Machine Learning Research
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Software