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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

08.05.2024

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling - Apple Machine Learning Research

This paper has been accepted at the Data Problems for Foundation Models workshop at ICLR 2024. Large language models are trained on massive…

Apple Machine Learning Research

07.05.2024

International Conference on Learning Representations (ICLR) 2024 - Apple Machine Learning Research

Apple is sponsoring the International Conference on Learning Representations (ICLR), which is taking place in person from May 7 to 11 in…

Apple Machine Learning Research

07.05.2024

ACM Human-Computer Interaction conference (CHI) 2024 - Apple Machine Learning Research

Apple is sponsoring the ACM Human-Computer Interaction Conference (CHI), which is taking place in person from May 11 to May 16, 2024 in…

Apple Machine Learning Research

04.05.2024

Conformal Prediction via Regression-as-Classification - Apple Machine Learning Research

Conformal prediction (CP) for regression can be challenging, especially when the output distribution is heteroscedastic, multimodal, or…

Apple Machine Learning Research

03.05.2024

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models - Apple Machine Learning Research

Large Language Models (LLMs) with billions of parameters have drastically transformed AI applications. However, their demanding computation…

Apple Machine Learning Research

03.05.2024

Pseudo-Generalized Dynamic View Synthesis from a Video - Apple Machine Learning Research

Rendering scenes observed in a monocular video from novel viewpoints is a chal- lenging problem. For static scenes the community has studied…

Apple Machine Learning Research

03.05.2024

Large Language Models as Generalizable Policies for Embodied Tasks - Apple Machine Learning Research

We show that large language models (LLMs) can be adapted to be generalizable policies for embodied visual tasks. Our approach, called Large…

Apple Machine Learning Research

03.05.2024

MOFI: Learning Image Representation from Noisy Entity Annotated Images - Apple Machine Learning Research

In this paper, we introduce a novel approach to automatically assign entity labels to images from existing noisy image-text pairs. The…

Apple Machine Learning Research

03.05.2024

Compressing LLMs: The Truth is Rarely Pure and Never Simple - Apple Machine Learning Research

Despite their remarkable achievements, modern Large Language Models (LLMs) encounter exorbitant computational and memory footprints…

Apple Machine Learning Research

03.05.2024

Poly-View Contrastive Learning - Apple Machine Learning Research

Contrastive learning typically matches pairs of related views among a number of unrelated negative views. Views can be generated (e.g. by…

Apple Machine Learning Research

03.05.2024

How Far Are We from Intelligent Visual Deductive Reasoning? - Apple Machine Learning Research

This paper was accepted at the How Far Are We from AGI? workshop at ICLR 2024. Vision-Language Models (VLMs) such as GPT-4V have recently…

Apple Machine Learning Research

03.05.2024

Guiding Instruction-based Image Editing via Multimodal Large Language Models - Apple Machine Learning Research

Instruction-based image editing improves the controllability and flexibility of image manipulation via natural commands without elaborate…

Apple Machine Learning Research

02.05.2024

When can transformers reason with abstract symbols? - Apple Machine Learning Research

We investigate the capabilities of transformer models on relational reasoning tasks. In these tasks, models are trained on a set of strings…

Apple Machine Learning Research

30.04.2024

Think While You Write Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation - Apple Machine Learning Research

Neural knowledge-to-text generation models often struggle to faithfully generate descriptions for the input facts: they may produce…

Apple Machine Learning Research

30.04.2024

Vanishing Gradients in Reinforcement Finetuning of Language Models - Apple Machine Learning Research

Pretrained language models are commonly adapted to comply with human intent and downstream tasks via finetuning. The finetuning process…

Apple Machine Learning Research

30.04.2024

Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction - Apple Machine Learning Research

Sleep staging is a clinically important task for diagnosing various sleep disorders but remains challenging to deploy at scale because it…

Apple Machine Learning Research

26.04.2024

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7× Faster Pre-training on Web-scale Image-Text Data - Apple Machine Learning Research

Contrastive learning has emerged as a transformative method for learning effective visual representations through the alignment of image and…

Apple Machine Learning Research

25.04.2024

Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals - Apple Machine Learning Research

Inspired by the advancements in foundation models for language-vision modeling, we explore the utilization of transformers and large-scale…

Apple Machine Learning Research

25.04.2024

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference - Apple Machine Learning Research

On-device machine learning (ML) moves computation from the cloud to personal devices, protecting user privacy and enabling intelligent user…

Apple Machine Learning Research

25.04.2024

OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework - Apple Machine Learning Research

The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of…

Apple Machine Learning Research

25.04.2024

Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences - Apple Machine Learning Research

On-device machine learning (ML) promises to improve the privacy, responsiveness, and proliferation of new, intelligent user experiences by…

Apple Machine Learning Research

24.04.2024

The Slingshot Effect: A Late-Stage Optimization Anomaly in Adam-Family of Optimization Methods - Apple Machine Learning Research

Adaptive gradient methods, notably Adam, have become indispensable for optimizing neural networks, particularly in conjunction with…

Apple Machine Learning Research

17.04.2024

Hindsight PRIORs for Reward Learning from Human Preferences - Apple Machine Learning Research

Preference based Reinforcement Learning (PbRL) has shown great promise in learning from human preference binary feedback on agent's…

Apple Machine Learning Research

17.04.2024

Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization - Apple Machine Learning Research

Existing vision-language models exhibit strong generalization on a variety of visual domains and tasks. However, such models mainly perform…

Apple Machine Learning Research

17.04.2024

Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage - Apple Machine Learning Research

Long prompts present a significant challenge for practical LLM-based systems that need to operate with low latency and limited resources. We…

Apple Machine Learning Research

09.04.2024

TiC-CLIP: Continual Training of CLIP Models - Apple Machine Learning Research

Keeping large foundation models up to date on latest data is inherently expensive. To avoid the prohibitive costs of constantly retraining…

Apple Machine Learning Research

05.04.2024

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training - Apple Machine Learning Research

*Equal Contributors Contrastive pretraining of image-text foundation models, such as CLIP, demonstrated excellent zero-shot performance and…

Apple Machine Learning Research

03.04.2024

Towards a World-English Language Model - Apple Machine Learning Research

Neural Network Language Models (NNLMs) of Virtual Assistants (VAs) are generally language-, region-, and in some cases, device-dependent…

Apple Machine Learning Research

02.04.2024

Streaming Anchor Loss: Augmenting Supervision with Temporal Significance - Apple Machine Learning Research

Streaming neural network models for fast frame-wise responses to various speech and sensory signals are widely adopted on…

Apple Machine Learning Research

30.03.2024

International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024 - Apple Machine Learning Research

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

Apple Machine Learning Research

23.03.2024

A Multi-signal Large Language Model for Device-directed Speech Detection - Apple Machine Learning Research

We present an architecture for device-directed speech detection that treats the task as a text-generation problem. We use a multi-modal…

Apple Machine Learning Research

21.03.2024

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training - Apple Machine Learning Research

In this work, we discuss building performant Multimodal Large Language Models (MLLMs). In particular, we study the importance of various…

Apple Machine Learning Research

16.03.2024

Enhancing Paragraph Generation with a Latent Language Diffusion Model - Apple Machine Learning Research

In the fast-evolving world of natural language processing (NLP), there is a strong demand for generating coherent and controlled text, as…

Apple Machine Learning Research

16.03.2024

Personalizing Health and Fitness with Hybrid Modeling - Apple Machine Learning Research

Recent research has explored [clinical monitoring,](https://pubmed.ncbi.nlm.nih.gov/32706685/) [cardiovascular…

Apple Machine Learning Research

16.03.2024

Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation - Apple Machine Learning Research

Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text…

Apple Machine Learning Research

15.03.2024

MotionPrint: Ready-to-Use, Device-Agnostic, and Location-Invariant Motion Activity Models - Apple Machine Learning Research

Wearable sensors have permeated into people's lives, ushering impactful applications in interactive systems and activity recognition…

Apple Machine Learning Research

15.03.2024

Corpus Synthesis for Zero-shot ASR Domain Adaptation using Large Language Models - Apple Machine Learning Research

While Automatic Speech Recognition (ASR) systems are widely used in many real-world applications, they often do not generalize well to new…

Apple Machine Learning Research

14.03.2024

Human Following in Mobile Platforms with Person Re-Identification - Apple Machine Learning Research

Human following serves an important human-robotics interaction feature, while real-world scenarios make it challenging particularly for a…

Apple Machine Learning Research

13.03.2024

Randomized Algorithms for Precise Measurement of Differentially-private, Personalized - Apple Machine Learning Research

This paper was accepted at The 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence. Personalized recommendations form an…

Apple Machine Learning Research

12.03.2024

Merge Vision Foundation Models via Multi-Task Distillation - Apple Machine Learning Research

As the repository of publicly available pre-trained vision foundation models (VFMs) — such as CLIP, DINOv2, and SAM — grows, users face…

home›Apple Machine Learning Research›Software

Apple Machine Learning Research - Software

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling - Apple Machine Learning Research

International Conference on Learning Representations (ICLR) 2024 - Apple Machine Learning Research

ACM Human-Computer Interaction conference (CHI) 2024 - Apple Machine Learning Research

Conformal Prediction via Regression-as-Classification - Apple Machine Learning Research

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models - Apple Machine Learning Research

Pseudo-Generalized Dynamic View Synthesis from a Video - Apple Machine Learning Research

Large Language Models as Generalizable Policies for Embodied Tasks - Apple Machine Learning Research

MOFI: Learning Image Representation from Noisy Entity Annotated Images - Apple Machine Learning Research

Compressing LLMs: The Truth is Rarely Pure and Never Simple - Apple Machine Learning Research

Poly-View Contrastive Learning - Apple Machine Learning Research

How Far Are We from Intelligent Visual Deductive Reasoning? - Apple Machine Learning Research

Guiding Instruction-based Image Editing via Multimodal Large Language Models - Apple Machine Learning Research

When can transformers reason with abstract symbols? - Apple Machine Learning Research

Think While You Write Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation - Apple Machine Learning Research

Vanishing Gradients in Reinforcement Finetuning of Language Models - Apple Machine Learning Research

Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction - Apple Machine Learning Research

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7× Faster Pre-training on Web-scale Image-Text Data - Apple Machine Learning Research

Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals - Apple Machine Learning Research

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference - Apple Machine Learning Research

OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework - Apple Machine Learning Research

Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences - Apple Machine Learning Research

The Slingshot Effect: A Late-Stage Optimization Anomaly in Adam-Family of Optimization Methods - Apple Machine Learning Research

Hindsight PRIORs for Reward Learning from Human Preferences - Apple Machine Learning Research

Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization - Apple Machine Learning Research

Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage - Apple Machine Learning Research

TiC-CLIP: Continual Training of CLIP Models - Apple Machine Learning Research

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training - Apple Machine Learning Research

Towards a World-English Language Model - Apple Machine Learning Research

Streaming Anchor Loss: Augmenting Supervision with Temporal Significance - Apple Machine Learning Research

International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024 - Apple Machine Learning Research

A Multi-signal Large Language Model for Device-directed Speech Detection - Apple Machine Learning Research

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training - Apple Machine Learning Research

Enhancing Paragraph Generation with a Latent Language Diffusion Model - Apple Machine Learning Research

Personalizing Health and Fitness with Hybrid Modeling - Apple Machine Learning Research

Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation - Apple Machine Learning Research

MotionPrint: Ready-to-Use, Device-Agnostic, and Location-Invariant Motion Activity Models - Apple Machine Learning Research

Corpus Synthesis for Zero-shot ASR Domain Adaptation using Large Language Models - Apple Machine Learning Research

Human Following in Mobile Platforms with Person Re-Identification - Apple Machine Learning Research

Randomized Algorithms for Precise Measurement of Differentially-private, Personalized - Apple Machine Learning Research

Merge Vision Foundation Models via Multi-Task Distillation - Apple Machine Learning Research

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Apple Machine Learning Research
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Software