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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

19.12.2024

Accelerating LLM Inference on NVIDIA GPUs with ReDrafter - Apple Machine Learning Research

Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally expensive and…

Apple Machine Learning Research

18.12.2024

ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition - Apple Machine Learning Research

Teleoperation for robot imitation learning is bottlenecked by hardware availability. Can high-quality robot data be collected without a…

Apple Machine Learning Research

13.12.2024

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale - Apple Machine Learning Research

Information Retrieval (IR) systems used in search and recommendation platforms frequently employ Learning-to-Rank (LTR) models to rank items…

Apple Machine Learning Research

12.12.2024

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models - Apple Machine Learning Research

*Equal Contributors Large language models (LLMs) are increasingly being adapted to achieve task-specificity for deployment in real-world…

Apple Machine Learning Research

10.12.2024

Momentum Approximation in Asynchronous Private Federated Learning - Apple Machine Learning Research

This paper was accepted for presentation at the International Workshop on Federated Foundation Models (FL@FM-NeurIPS'24), held in…

Apple Machine Learning Research

07.12.2024

Private and Personalized Frequency Estimation in a Federated Setting - Apple Machine Learning Research

Motivated by the problem of next word prediction on user devices we introduce and study the problem of personalized frequency histogram…

Apple Machine Learning Research

07.12.2024

How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts - Apple Machine Learning Research

The remarkable advancements in Multimodal Large Language Models (MLLMs) have not rendered them immune to challenges, particularly in the…

Apple Machine Learning Research

07.12.2024

Neural Information Processing Systems (NeurIPS) 2024 - Apple Machine Learning Research

Apple is presenting new research at the annual conference on Neural Information Processing Systems (NeurIPS), which takes place in person in…

Apple Machine Learning Research

07.12.2024

Apple Machine Learning Research at NeurIPS 2024 - Apple Machine Learning Research

Apple researchers are advancing the field of ML through fundamental research that improves the world’s understanding of this technology and…

Apple Machine Learning Research

06.12.2024

Memory-Retaining Finetuning via Distillation - Apple Machine Learning Research

This paper was accepted at the Fine-Tuning in Modern Machine Learning: Principles and Scalability (FITML) Workshop at NeurIPS 2024. Large…

Apple Machine Learning Research

06.12.2024

Towards Time-Series Reasoning with LLMs - Apple Machine Learning Research

Multi-modal large language models (MLLMs) have enabled numerous advances in understanding and reasoning in domains like vision, but we have…

Apple Machine Learning Research

05.12.2024

Strategic Linear Contextual Bandits - Apple Machine Learning Research

Motivated by the phenomenon of strategic agents gaming a recommendation system to maximize the number of times they are recommended to…

Apple Machine Learning Research

05.12.2024

Leveraging Periodicity for Robustness with Multi-modal Mood Pattern Models - Apple Machine Learning Research

*Equal Contributors Data from wearable sensors (e.g., heart rate, step count) can be used to model mood patterns. We characterize feature…

Apple Machine Learning Research

05.12.2024

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling - Apple Machine Learning Research

Diffusion models have emerged as a powerful tool for generating high-quality images from textual descriptions. Despite their successes…

Apple Machine Learning Research

04.12.2024

Learning Elastic Costs to Shape Monge Displacements - Apple Machine Learning Research

Given a source and a target probability measure supported on Rd\mathbb{R}^dRd, the Monge problem aims for the most efficient way to map one…

Apple Machine Learning Research

04.12.2024

GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics - Apple Machine Learning Research

Single-cell genomics has significantly advanced our understanding of cellular behavior, catalyzing innovations in treatments and precision…

Apple Machine Learning Research

27.11.2024

Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody? - Apple Machine Learning Research

This paper was accepted at the Ninth Conference on Machine Translation (WMT24) at EMNLP 2024. The prosody of a spoken utterance, including…

Apple Machine Learning Research

23.11.2024

Do Compressed LLMs Forget Knowledge? An Experimental Study with Practical Implications - Apple Machine Learning Research

This paper was accepted at the Machine Learning and Compression Workshop at NeurIPS 2024. Compressing Large Language Models (LLMs) often…

Apple Machine Learning Research

23.11.2024

Multimodal Autoregressive Pre-Training of Large Vision Encoders - Apple Machine Learning Research

*Equal Contributors A dominant paradigm in large multimodal models is to pair a large language de- coder with a vision encoder. While it is…

Apple Machine Learning Research

22.11.2024

Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization - Apple Machine Learning Research

Learning with identical train and test distributions has been extensively investigated both practically and theoretically. Much remains to…

Apple Machine Learning Research

22.11.2024

Faster Algorithms for User-Level Private Stochastic Convex Optimization - Apple Machine Learning Research

We study private stochastic convex optimization (SCO) under user-level differential privacy (DP) constraints. In this setting, there are nnn…

Apple Machine Learning Research

22.11.2024

Private Online Learning via Lazy Algorithms - Apple Machine Learning Research

We study the problem of private online learning, specifically, online prediction from experts (OPE) and online convex optimization (OCO). We…

Apple Machine Learning Research

22.11.2024

Instance-Optimal Private Density Estimation in the Wasserstein Distance - Apple Machine Learning Research

Estimating the density of a distribution from samples is a fundamental problem in statistics. In many practical settings, the Wasserstein…

Apple Machine Learning Research

22.11.2024

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

This paper was accepted at the Foundation Model Interventions (MINT) Workshop at NeurIPS 2024. Instruction-following is crucial for building…

Apple Machine Learning Research

22.11.2024

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

This paper was accepted at the Safe Generative AI Workshop (SGAIW) at NeurIPS 2024. Large language models (LLMs) could be valuable personal…

Apple Machine Learning Research

22.11.2024

Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions - Apple Machine Learning Research

We study the problem of differentially private stochastic convex optimization (DP-SCO) with heavy-tailed gradients, where we assume a…

Apple Machine Learning Research

21.11.2024

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum - Apple Machine Learning Research

Large language models (LLMs) are commonly trained on datasets consisting of fixed-length token sequences. These datasets are created by…

Apple Machine Learning Research

20.11.2024

Towards Low-Bit Communication for Tensor Parallel LLM Inference - Apple Machine Learning Research

This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. Tensor parallelism…

Apple Machine Learning Research

20.11.2024

Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning - Apple Machine Learning Research

This paper was accepted at the Self-Supervised Learning - Theory and Practice (SSLTP) Workshop at NeurIPS 2024. Image-based Joint-Embedding…

Apple Machine Learning Research

20.11.2024

Generalization on the Unseen, Logic Reasoning and Degree Curriculum - Apple Machine Learning Research

This paper considers the learning of logical (Boolean) functions with a focus on the generalization on the unseen (GOTU) setting, a strong…

Apple Machine Learning Research

19.11.2024

Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models - Apple Machine Learning Research

This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. Large Language Models…

Apple Machine Learning Research

19.11.2024

Recurrent Drafter for Fast Speculative Decoding in Large Language Models - Apple Machine Learning Research

We present Recurrent Drafter (ReDrafter), an advanced speculative decoding approach that achieves state-of-the-art speedup for large…

Apple Machine Learning Research

13.11.2024

Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization - Apple Machine Learning Research

This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. The pre-training phase of…

Apple Machine Learning Research

07.11.2024

Optimizing Contextual Speech Recognition Using Vector Quantization for Efficient Retrieval - Apple Machine Learning Research

Neural contextual biasing allows speech recognition models to leverage contextually relevant information, leading to improved transcription…

Apple Machine Learning Research

05.11.2024

Empirical Methods in Natural Language Processing (EMNLP) 2024 - Apple Machine Learning Research

Apple is presenting new research at the Empirical Methods in Natural Language Processing (EMNLP) conference, which takes place in person in…

Apple Machine Learning Research

05.11.2024

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP - Apple Machine Learning Research

Large pretrained vision-language models like CLIP have shown promising generalization capability, but may struggle in specialized domains…

Apple Machine Learning Research

05.11.2024

Device-Directed Speech Detection for Follow-up Conversations Using Large Language Models - Apple Machine Learning Research

This paper was accepted at the Adaptive Foundation Models (AFM) workshop at NeurIPS Workshop 2024. Follow-up conversations with virtual…

Apple Machine Learning Research

02.11.2024

On Device Llama 3.1 with Core ML - Apple Machine Learning Research

Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs)…

Apple Machine Learning Research

01.11.2024

Computational Bottlenecks of Training Small-Scale Large Language Models - Apple Machine Learning Research

This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) workshop at NeurIPS Workshop 2024. While large…

Apple Machine Learning Research

31.10.2024

Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs - Apple Machine Learning Research

Translating text that contains entity names is a challenging task, as cultural-related references can vary significantly across languages…

home›Apple Machine Learning Research›Software

Apple Machine Learning Research - Software

Accelerating LLM Inference on NVIDIA GPUs with ReDrafter - Apple Machine Learning Research

ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition - Apple Machine Learning Research

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale - Apple Machine Learning Research

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models - Apple Machine Learning Research

Momentum Approximation in Asynchronous Private Federated Learning - Apple Machine Learning Research

Private and Personalized Frequency Estimation in a Federated Setting - Apple Machine Learning Research

How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts - Apple Machine Learning Research

Neural Information Processing Systems (NeurIPS) 2024 - Apple Machine Learning Research

Apple Machine Learning Research at NeurIPS 2024 - Apple Machine Learning Research

Memory-Retaining Finetuning via Distillation - Apple Machine Learning Research

Towards Time-Series Reasoning with LLMs - Apple Machine Learning Research

Strategic Linear Contextual Bandits - Apple Machine Learning Research

Leveraging Periodicity for Robustness with Multi-modal Mood Pattern Models - Apple Machine Learning Research

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling - Apple Machine Learning Research

Learning Elastic Costs to Shape Monge Displacements - Apple Machine Learning Research

GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics - Apple Machine Learning Research

Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody? - Apple Machine Learning Research

Do Compressed LLMs Forget Knowledge? An Experimental Study with Practical Implications - Apple Machine Learning Research

Multimodal Autoregressive Pre-Training of Large Vision Encoders - Apple Machine Learning Research

Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization - Apple Machine Learning Research

Faster Algorithms for User-Level Private Stochastic Convex Optimization - Apple Machine Learning Research

Private Online Learning via Lazy Algorithms - Apple Machine Learning Research

Instance-Optimal Private Density Estimation in the Wasserstein Distance - Apple Machine Learning Research

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

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

Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions - Apple Machine Learning Research

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum - Apple Machine Learning Research

Towards Low-Bit Communication for Tensor Parallel LLM Inference - Apple Machine Learning Research

Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning - Apple Machine Learning Research

Generalization on the Unseen, Logic Reasoning and Degree Curriculum - Apple Machine Learning Research

Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models - Apple Machine Learning Research

Recurrent Drafter for Fast Speculative Decoding in Large Language Models - Apple Machine Learning Research

Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization - Apple Machine Learning Research

Optimizing Contextual Speech Recognition Using Vector Quantization for Efficient Retrieval - Apple Machine Learning Research

Empirical Methods in Natural Language Processing (EMNLP) 2024 - Apple Machine Learning Research

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP - Apple Machine Learning Research

Device-Directed Speech Detection for Follow-up Conversations Using Large Language Models - Apple Machine Learning Research

On Device Llama 3.1 with Core ML - Apple Machine Learning Research

Computational Bottlenecks of Training Small-Scale Large Language Models - Apple Machine Learning Research

Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs - Apple Machine Learning Research

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Apple Machine Learning Research
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