Apple Machine Learning Research
Apple machine learning teams are engaged in state of the art research in machine learning and artificial intelligence. Learn about the latest advancements.
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- 1,240 from 24 Jun 2021 to 26 Oct 2026
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- weekly (94 in the last year)
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2026 84
- GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior
- Empirical Methods in Natural Language Processing (EMNLP) 2026
- Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio
- Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents
- Plan or Retrieve First? A Scale Study of Tool Discovery Architectures
- Agent Seer: Synthesizing Scenarios from Specification Understanding
- Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models
- The Design Space of Tri-Modal Masked Diffusion Models
- Progressive Refinement: An Iterative Pseudo-Labeling Approach for Mandarin-English Code-Switching ASR
- Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings
- Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged
- Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices
- Self-Compacting Language Model Agents
- Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts
- Normalizing Trajectory Models
- From Preferences to Principles: Rubric-Based Alignment for Grounded Knowledge Answers
- Anti-Causal Domain Generalization: Leveraging Unlabeled Data
- Behavioral Privacy Leakage in Agentic Negotiation: Formalizing and Mitigating Inference Attacks via Randomized Policies
- SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation
- How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?
- Shared Selective Persistent Memory for Agentic LLM Systems
- Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why
- On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study
- Sparse Autoencoders Are Capable LLM Jailbreak Mitigators
- LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
- ExpertLens: Activation Steering Features Are Highly Interpretable
- Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interaction
- BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning
- research area Computer Vision
- PROOF-Gen: From Optimized Data to Better Distillation
- RISED: Rubrics for Agentic Multi-Environment Selection and Self-Distillation
- Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels
- mAceReason-Math: A Dataset of High-Quality Multilingual Math Problems Ready For RLVR
- DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
- When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs
- Trace Length is a Simple Uncertainty Signal in Reasoning Models
- When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs
- Doubly Sub-linear Interactive Proofs of Proximity
- Interactive Proofs for General Distribution Properties
- Location-Invariant Properties of Functions Versus Properties of Distributions: United in Testing but Separated in Verification
- Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems
- Limits of Confidence in Diffusion
- Compressing Streaming Neural Audio Encoders via Latent-Space Distillation
- LVSum: A Benchmark for Timestamp-Aware Long Video Summarization
- NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding
- RayRoPE: Projective Ray Positional Encoding for Multi-View Attention
- Annotations Mitigate Post-Training Mode Collapse
- Accelerating Text-to-Video Generation with Calibrated Sparse Attention
- Drop-In Perceptual Optimization for 3D Gaussian Splatting
- Residual Context Diffusion Language Models
- Learning Unmasking Policies for Diffusion Language Models
- Learning Deformable Body Interactions With Adaptive Spatial Tokenization
- Introducing the Third Generation of Apple’s Foundation Models
- Memory Efficient Audio Synthesis with Decoupled Temporal Depth Diffusion Transformers
- SpeakStream: Streaming Text-to-Speech with Interleaved Data
- Learning to Evict from Key-Value Cache
- Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering
- Luce: Relightable Gaussians for 3D Asset Generation
- MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE
- EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments
- DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation
- STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
- Conformal Thinking: Risk Control for Reasoning on a Compute Budget
- Local Mechanisms of Compositional Generalization in Conditional Diffusion
- ParaRNN: Large-Scale Nonlinear RNNs, Trainable in Parallel
- Scaling Properties of Continuous Diffusion Spoken Language Models
- GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings
- MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers
- Amortizing Maximum Inner Product Search with Learned Support Functions
- Understanding Annotator Safety Policy with Interpretability
- VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization
- Training Software Engineering Agents and Verifiers with SWE-Gym
- CPEP: Contrastive Pose-EMG Pre-training Enhances Gesture Generalization on EMG Signals
- Beyond Visual CoT: Internalized Visual Thinking for Proactive Video Reasoning
- On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs
- Faster Rates for Federated Variational Inequalities
- A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models
- Multilingual Semantic Retrieval for Apple Music Search
- REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff
- Multi-Agent Teams Hold Experts Back
- COMPASS: Benchmarking Constrained Optimization in LLM Agents
- AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding
- Incentivizing Temporal-Awareness in Egocentric Video Understanding Models
- Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning
2025 52
- Scaling Categorical Flow Maps
- MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching
- Segmental Attention Decoding with Long Form Acoustic Encodings
- Arbitrage: Efficient Reasoning via Advantage-Aware Speculation
- Taming Outlier Tokens in Diffusion Transformers
- Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data Catalogs
- Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition
- In a previous post
- Dynamically Scaled Activation Steering
- One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation
- Visatronic: A Multimodal Decoder-Only Model for Speech Synthesis
- LLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic Beliefs
- How to Guide Your Language Flow
- How Value Induction Reshapes LLM Behaviour
- Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
- Local Mechanisms of Compositional Generalization in Conditional Diffusion
- Dimensionality Reduction Meets Network Science: Sensemaking on UMAP’s kNN Graph
- Scaling Laws for Mixture Pretraining Under Data Constraints
- Language Discrimination Improves Linguistic Learning in Multilingual Speech Models
- Assessing the Role of Data Quality in Training Bilingual Language Models
- SimpleDesign: A Joint Model for Protein Sequence and Structure Codesign
- MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations
- Understanding Alignment in Multimodal LLMs: A Comprehensive Study
- Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining
- Emergent Symbolic Structure in Health Foundation Models: Extraction, Alignment, and Cross-Modal Transfer
- Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context
- Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models
- STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows
- VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models
- FlowEval: Reference-Based Evaluation of Generated User Interfaces
- Path-Constrained Mixture-of-Experts
- Uncertainty Quantification for LLM Function-Calling
- DynaMiCS: Fine-Tuning LLMs with Performance Constraints Using Dynamic Mixtures
- Efficient Privacy Loss Accounting for Subsampling and Random Allocation
- The Communication Bottleneck: A Round-Trip Study of Tree-Structured Expression Serialization in Language Models
- Updates to Apple’s On-Device and Server Foundation Language Models
- Learning Structured Reasoning via Tractable Trajectory Control
- MoMo: Dial Motion Mode in Robot Manipulation with Spatiotemporal Action Tokenization
- Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping
- Learning from Self Critique and Refinement for Faithful LLM Summarization
- Normalized Rewards for Preference Learning
- Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy
- Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling
- Optimal Splitting of Language Models from Mixtures to Specialized Domains
- Flexible Routing via Uncertainty Decomposition
- RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback
- REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs
- (1D) Ordered Tokens Enable Efficient Test-Time Search
- Environment-free Synthetic Data Generation for API-Calling Agents
- Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants
- Revisiting ASR Error Correction with Specialized Models
- Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures
2024 18
- Personalizing Incremental Video Search with Hybrid Text and ID Embeddings
- TopoPrimer: The Missing Topological Context in Forecasting Models
- Apple Machine Learning Research at NeurIPS 2024
- MODUS: Decoder-only Any-to-Any Modeling of Diverse Modalities
- LEAD: Breaking the No-Recovery Bottleneck in Long-Horizon Reasoning
- The P-Completeness of Inverted Index Traversal: On the Complexity of Evaluating Boolean Query DAGs
- RVPO: Risk-Sensitive Alignment via Variance Regularization
- CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning
- LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
- Weblica: Scalable and Reproducible Training Environments for Visual Web Agents
- Embarrassingly Simple Self-Distillation Improves Code Generation
- Athena: Intermediate Representations for Iterative Scaffolded App Generation with an LLM
- Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
- Locking Pretrained Weights via Deep Low-Rank Residual Distillation
- Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
- Introducing Apple’s On-Device and Server Foundation Models
- Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts
- A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
2023 6
- DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP
- IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
- Multilingual Knowledge Transfer under Data Constraints via Lexical Interventions
- ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs
- A Practical Recipe for Semi-Supervised Federated ASR: Online Pseudo-Labels with Server Update Stabilization
- What Matters in Practical Learned Image Compression
2022 2
2021 3
Undated 1075
- Text conditional jepa visual representations
- Specmd expert prefetching
- Normalizing flows iterative denoising
- Spatial
- Stochastic kv routing
- Portool policy optimization
- Simplefold
- Cram less
- Evaluating sample utility
- Reinforced agent inference feedback
- Stereofoley object aware stereo audio
- Sign language annotations
- Direct steering optimization
- Iclr 2026
- Adaptive thinking
- Ladir
- Bed llm
- Depyf open
- Long term motion embeddings
- Unigen 1.5
- Pico banana
- So bench
- Atoken
- Llm context understanding
- What do your logits know
- Mixatlas
- Mobileclip2
- Semidiscrete couplings
- Lacy
- Neighbor
- Governance aware agent telemetry
- Squire
- Personalized group
- Protext gender bias benchmark
- Depth pro
- Exclusive self attention
- Cognition emerge frontier models
- Entropy preserving reinforcement learning
- Beyond real data
- Less gaussians texture more
- To infinity
- Downstream metrics
- Fs dfm
- Latent lookahead
- Scaling synthetic task
- Safetypairs
- Trained on tokens
- Goldilocks
- Prose2policy
- Trajtok
- Ames
- Rubicap
- Multilingual reasoning gym
- Lito
- Augmenting app
- Multi frequency fusion
- Genctrl
- Completed hyperparameter
- Hallucination span detection
- Disentangled safety
- Embridge
- Separating intelligence
- We notice
- Abstral
- Diffucoder
- Hilbert
- Compute optimal
- Compute multiplier
- Constructive circuit amplification
- Automated recycling identification system
- Beyond a single extractor
- Closing the gap
- Cot
- Simulation based inference
- Query auto completion
- Ferret ui
- Correctness
- Semantic caching
- Scenescout
- Leveraging audio visual
- Data centric lessons
- Controlled experimentation
- Faster rates
- Mapping
- Pretrained foundation model
- Score distillation
- Egodex learning dexterous manipulation
- Parallel track
- Fairly certain
- Parts assemble
- Vssflow
- Bootstrapped
- Pararnn
- Continuously augmented
- Efficient calibration
- Reinforcement learning
- Gaussian process
- Sharp monocular view
- Manzano
- Grace
- Self supervised representations
- Designer feedback
- Vlsu
- Action abstractions
- Selfreflect
- Barriers for learning
- Hierarchical memories
- Rethinking jepa
- Rl for reasoning
- Semantic regexes
- Coarse grained
- Neurips 2025
- Search augmented
- Optimal transport
- https://machinelearning.apple.com/research/r1
- Agentbuilder
- Best of n
- Taxonomy for speech
- Inferring optical tissue
- Fairness dynamics
- Communication complexity
- Agentic reasoning
- Unified open
- Gie bench
- Inflectional morphology probes
- Sinkhorn couplings
- Mirror
- Moe phds
- Dit air
- Chipchat
- Digital mental health
- Algorithms
- Chain of sketch
- Reinforcement learning integrated
- Semantic mastery
- Predict
- Photoplethysmography
- Immersive debugging
- Vlsu mapping
- Speech foundation
- Relative composition eeg
- Omni router
- Illusion of thinking
- Car flow
- Starflow
- Polynorm
- Rattention
- Optimal data mixtures
- Embedding atlas
- Policy maps
- Semorec
- Reasoning razor
- Toward machine interpreting
- Leveraging power
- Psychological scaffolds
- Hallucination detection
- Memory efficient backpropagation
- Primex
- Simulation based
- Breaking down
- Persistent discrimination
- Switchboard affect
- Rethinking non negative
- Software defect prediction
- Hybrid vector graph
- Encqa benchmarking
- Preamble
- Clip up
- Discriminating form
- Llm inference
- Analyzing dialectical
- Reasoning based anomaly
- Stable diffusion
- Keyframer
- Taser
- Graph representation
- Proactive streaming assistant
- Privacy amplification
- Enabling
- Checklists are better
- Ai red teaming
- Prediction potential
- Adversarial distilled
- Non gaussianity
- Lens of indistinguishability
- Mm spatial
- Classifier free guidance
- Statistical inference
- Fast vision language models
- Guiding cross modal
- On inductive biases
- Tada
- Discrete neural flow
- Flexible language modeling
- Datasets documents repetitions
- Unigen enhanced training
- Instance optimality
- Follow the energy
- Apple foundation models tech report 2025
- Slowfast llava
- The super weight
- Investigating intersectional
- Pitch accent
- Uicoder
- Eliciting in context
- Optimizing contextual
- Interactive prototyping
- Optimal corpus
- Dicehubert
- Adaptive knowledge
- Accessibility project challenge
- Sequence to tree
- Ambisonics super resolution
- Affect models
- Conditioned video generation
- External validation
- Global calibration
- Mmau
- Mrakl
- Iclr 2025
- Aspera
- On the way
- Information geometry
- Symbolic regression
- New embedding spaces
- Pretraining data matches
- Vision transformers
- Overcoming vocabulary constraints
- Axlearn
- Iluvui instruction tuned
- Icml 2025
- Pts3d llm
- Quantspec
- Diffusion
- Self reflective
- Commutative vector quantization
- Naturalness
- Target concrete
- Addressing misspecification
- Apple intelligence foundation language models
- Scaling laws
- Geometries of truth
- Beyond sensor
- Private adversarial bandits
- Tracking the best
- Parameters flops scaling
- Learning to route
- Soup of experts
- Understanding input
- Super weight
- Distillation scaling laws
- Pruning large language
- Homomorphic encryption
- Cavia
- Evaluating long range
- Etva
- Advancing egocentric video
- Contrastive localized
- Towards safer ai agents
- Tic lm web scale
- Hypernetworks personalizing asr
- Synth4seg
- Private selection
- Revisiting uncertainty
- Phonetically augmented
- Normalizing flows
- Predicting preferences
- Flow matching
- Variational
- Trade offs
- Mobilebrick
- Pointersect
- Neural 3d relightable
- Collaborative machine learning
- Cvpr 2025
- Voice quality
- Chain of thought
- Proxy fda
- Beyond text compression
- Cross lingual transfer
- Prompting whisper
- World consistent
- Samplable anon aggregation
- Heart rate estimation
- Interleaved reasoning
- Voxelnet end to end
- Controlled synthesis
- Sync point drop
- Good stereoscopic
- Humanoid policy
- Cubify anything
- English accent
- Fastvlm efficient vision encoding
- Micronn on device
- Large photogrammetry model
- Sample complexity
- Local pan privacy
- Mechanisms of projective composition
- App store review
- How to verify distribution property
- Scaling diffusion language models
- Talking turns
- Dart denoising autoregressive transformer
- Tis dpo importance sampling
- Disentangled representational learning gromov
- Comotion concurrent 3d motion
- Diffusion elementary tutorial
- Scaling laws native multimodal models
- Ec dit
- No need to talk
- Focallens
- Length generalization transformers
- Exploring hallucinations
- 3d shape tokenization
- Modeling capabilities of language
- Dense to dynamic
- Task adaptive
- Ademamix optimizer
- Simple reflow
- Mm ego
- Relative contrastive learning
- Transporting activations
- Controlling language and diffusion
- Do llms know internally
- Adaptive batch size
- Ferret ui 2
- Large scale image caption
- Estimate uncertainty well
- Seedlm compressing
- Interpreting improving optimal control
- Mutual reinforcement llm dialogue
- Modeling speech emotion
- Universally instance optimal mechanisms
- Role of prosody
- Vibe visual analytics workflow
- Speaker ipl vector pseudo labels
- Ai sign language generation
- Easel promoting social emotional
- Interactive data augmentation
- Toolsandbox stateful conversational llm benchmark
- Evaluating text2sql solutions
- Univg diffusion model
- Exploring prediction targets
- Dr mpc deep residual
- Efficient streaming audio visual
- When does predictor know
- Kv prediction
- Multi rate residuals transformers
- Speech models using rank
- Selma speech enabled language
- Mm15 methods analysis insights
- Speech tokenization made simple
- Pixel space diffusion models
- Towards better instruction following
- Wearable accelerometer foundation models
- Grounding multimodal large
- Flex tok resampling
- Generalist embodied agents
- Efficient and effective
- Scalable graph neural network
- Armor egocentric
- Robust autonomy emerges
- Iwslt 2024 evaluation campaign
- Immerse diffusion generative
- Learning real world application
- Towards robust evaluation
- Set distribution networks
- Prediction preserving inputs
- Stable diffusion coreml apple silicon
- Sigmoid self attention
- Multimodal autoregressive
- Dataset decomposition
- Kaleido diffusion
- Cut your losses
- Adaptive training
- Mapping cells through time
- Transformation invariant
- Faster algorithms
- Step by step reasoning
- Spatially aware
- Reinforcement learning long horizon
- Follow instructions
- Instance optimal
- Heavy tails
- Estimate uncertainty
- Mitigating hallucinated translations
- Emotion expressive motion
- Compact neural tts
- Forget knowledge
- Higher order calibration
- Salsa soup
- Enhancing jepa
- Lazy algorithms
- Model based metrics
- Low bit
- Elegnt expressive functional movement
- Revisiting nonseparable binary
- Logic reasoning
- Delayed fusion integrating large
- Learning insulin glucose dynamics in the wild
- Dsplats 3d generation
- Robust hybrid learning
- Kg trick unifying
- Neural transducer training
- Interpreting clip insights
- Rephrasing the web
- Pre trained model
- Learning detect novel
- Motionprint
- Variable attention masking
- Transformers learn gradual
- Fingerprinting codes
- Rapid scalable
- Stochastic optimization
- Resource constrained
- Eelbert
- Autoregressive image models
- Veclip
- Parlor game arena
- Streaming anchor loss
- Merge vision
- Speakers speaking
- Corpus synthesis
- Large scale training
- Transport solvers
- Hybrid model learning
- Bin prediction
- Coml
- Investigating salient representation
- Leveraging large language models
- Acoustic model fusion
- Ctc based
- Supervised training
- Datacomp
- Smoothness induced
- Pretrained language models
- Hugs
- Fast optimal
- Adaptive weight
- Massively multimodal
- Fleek
- Deeppcr
- Tic clip
- Towards multimodal multitask
- Swap agnostic learning
- Planner
- Agnostically learning single
- Increasing coverage
- Flexible keyword
- User level differentially
- Vision inspired
- Relu
- Audio video learners
- Hyperdiffusion
- Slower respiration rate
- Fastvit
- Towards real world
- Automating behavioral testing
- Modality dropout
- Never ending learning
- Yield calibration
- Moonwalk
- Gender bias llm
- Gaudi
- Parameter free
- Nelf
- Reinforce data
- Parallel neural tts
- Conformalization sparse generalized
- Self supervised object goal
- Intelligent assistant language
- Sample size calculations
- Ferret
- Private online prediction
- Matching latent encoding
- Referring to screen
- Unified query rewriting
- Application agnostic language
- Latent phrase matching
- Monge map
- Resolving the mixing time
- Monge bregman occam
- Spatial librispeech
- Actionable data insights
- Nearest neighbor phrase
- Cross lingual knowledge transfer
- Roomdreamer
- Unified architecture
- Semi supervised long tailed
- Learning language specific layers
- Robustness multimodal learning
- Duet
- Open domain knowledgegraphs
- Self supervised temporal
- Near optimal algorithms
- From privacy robustness
- Machine translation
- Considerations distribution shift
- Entropy reconstruction
- Nerf
- Unconstrained channel pruning
- High throughput vector
- Multi stage diffusion
- Bootstrap own variance
- Autofocusformer
- Generalization on the unseen
- Helping machine translation
- Feedback effect
- Lip articulation
- Personalizing asr models
- Slick exploiting subsequences
- Mast
- Heimdal
- Improvements embedding
- User perceptions technical
- Ape
- Privacy computation trade offs
- Self supervision natural language
- Patch autoencoder
- Robust gan inversion
- Fastfill
- Efficient online augmentation
- Symbol guided hindsight
- Designing data
- Audio to intent
- Improving human annotation
- Diffusion probabilistic fields
- Loss minimization
- Unifying theory distance
- Shift curvature
- Beyond cage
- Joint speech transcription
- Active learning
- Segmentation guided
- Impact of language
- Homomorphic self supervised learning
- Rewards encoding
- Non autoagressive neural machine
- Treatise on fst lattice
- Prompting conversation
- Soft pseudo labeling
- Large scale observational
- Elastic weight consolidation
- Analyzing mitigating repetitions
- Subspace recovery
- Modeling spoken information queries
- Learning bias reduced
- Modeling heart rate
- Statistical deconvolution
- Privacy noisy stochastic
- Isotropic networks
- Calibration generalization gap
- Low rank optimal transport
- Generalization unseen data boolean
- Multi view bootstrapping
- Latent temporal flows
- Flair
- Photoplethysmography motion sensor fusion
- Safe real world
- Improving generalization
- Detector free image
- Open response surveys
- Physiomtl
- Toward supporting quality
- Mean estimation
- Two layer bandit
- Neural incident light field
- Generative multiplane images
- Combining compressions
- Improving voice trigger
- Multi objective hyper parameter
- High performance library
- Taxonomy overfitting
- Device directed speech
- Vision based hand
- Minimax demographic group
- Generating textures
- Private frequency estimation
- Learning to reweight data
- Regularized training
- Reinforcement learning robotics
- Optimal algorithms
- Integrating categorical features
- Position prediction
- Reachability embeddings
- Space efficient representation
- Self conditioning pre trained
- Training a tokenizer
- Investigating model representations
- Leveraging entity representations
- Efficient representation
- Dynamic memory
- Forward compatible training
- Unsupervised learning
- Enabling hand gesture
- Low resource adaptation
- Icon labelling
- Cinematic l1 video stabilization
- Bytes are all you need
- Streaming on device
- Vision inspired method
- Differentiable k means
- Vocal effort modeling
- Learning compressed embedding
- Private vector mean estimation
- Time sensitive finetuning
- Continuous construction
- Llm fusion low rank
- Evaluating iwslt2023 tasks
- Server side rescoring
- Espnet spk
- Agrame
- Embedding pose graph
- Vision transformer
- Learning based 3d reconstruction
- Neural fisher
- Screen relationships
- Efficient diffusion models
- Odgen
- Matryoshka diffusion models
- Facial motion synthesis
- Neural face video
- Swallowing the bitter pill
- Automatic creative selection
- Synthetic defect generation
- Composing interactive interfaces
- Gain propagation
- Mgie
- Generative modeling
- Poly view contrastive learning
- Generalizing confusion matrix
- End to end
- Differential secrecy
- Dynamic view synthesis
- Boot
- Contrastive recurrent state space models
- Learning spatiotemporal occupancy
- Fair sa
- Federated personalization
- Consistent collaborative filtering
- Hindsight priors reward learning
- Open domain question answering
- Arkitscenes
- Batchquant
- Rim
- Mmiu visual intent
- Self supervised semi supervised learning
- Self supervised supervised methods
- Stochastic contrastive learning
- Reconstructing training data
- High fidelity 3d reconstructions
- Finding experts
- Breiman two cultures
- Pause information
- Entity knowledge conflicts
- On device neural speech
- Enforcing fairness
- Learning compressible subspaces
- Cross domain data integration
- Deep partial point cloud registration
- Multitask learning with cross attention
- Lidar segmentation
- Screen parsing
- User initiated repetition based recovery
- Audiovisual synthesis using tacotron2
- Managing ml pipelines
- Survey on privacy
- Deep encoding
- Generation of synthetic geospatial images
- Bilingual end to end asr
- Transformers learn
- Online automatic speech recognition
- Nonparametric differentially private median confidence intervals
- Memorization of irrelevant training
- Retrievalfuse
- Neural networks for intrinsic image decomposition relighting
- Subject aware contrastive learning
- Private adaptive gradient methods
- Lossless compression
- Implicit greedy rank
- Streaming transformer
- Bootleg self supervision
- Analysis and tuning
- Smooth sequential optimization
- Interdependent variables
- Leveraging query resolution
- Spatio temporal context
- Morphgan
- Private stochastic convex optimizations
- Probabilistic attention for interactive segmentation
- Attention free transformer
- Learning to optimize black box evaluation metrics
- Instance level task parameters
- Evaluating entity disambiguation amber
- Combined resolution of ellipses
- Visual cues in audiovisual speech enhancement
- Extracurricular learning
- Learning sample adaptive policy
- Noise robust named entity
- Dynamic curriculum learning
- Multimodal punctuation prediction
- Discriminative entity aware language
- Progressive voice trigger
- On device false trigger
- Training dnn hmm
- Error driven pruning
- Unconstrained scene generation
- Joint speech recognition and translation
- Recommending accessibility
- Video frame interpolation
- Neural feature selection
- Frame level specaugment
- Neural tts long form
- Creating accessibility metadata
- Question rewriting
- Lombard neural speech synthesis
- Stuttering event detection
- Generating natural questions
- Enhanced direct delta mush
- Offline reinforcement learning
- Hypersim
- Individual privacy accounting
- What neural networks memorize
- Learning neural network subspaces
- Privacy amplification by shuffling
- Wearable ecg recordings
- Generating synthetic images
- Improving human labeled data
- Tract
- Layer wise data free cnn compression
- Stochastic gradient descent
- Multichannel voice trigger
- Collegial ensembles
- Utilizing imperfect synthetic
- Downbeat tracking with tempo
- Learning soft labels
- Axnav
- Slingshot mechanism
- Critical regularizations
- Tensor programs
- Finerecon
- Robust joint shape
- Dnikit
- Fine tuning strategies
- Faster nerf
- Model stability with continuous data
- Multi view stereo
- Ddim
- Efficient multimodal neural networks
- Challenges adversarial image
- Randomized controlled trials
- Neural human radiance field
- Masked auto encoder
- Naturalistic head motion
- Comparison of question rewriting methods
- Rescribe authoring and automatically editing audio descriptions
- Open domain question answering goes conversational
- Neural machine translation
- Making smartphone augmented reality apps accessible
- Automatic class discovery one shot interactions acoustic activity
- Question reformulation and answer selection
- Task agnostic data augmentation
- Mage fluid moves between code
- Data parameters
- Capsules with inverted dot product attention routing
- Jointly learning to align and translate with transformer models
- Speech translation
- Improving knowledge base construction from robust infobox extraction
- Adversarial fisher vectors for unsupervised representation learning
- Exploration of data augmentation and sampling techniques
- Voice trigger detection from lvcsr hypothesis lattices using bidirectional lattice recurrent neural networks
- Parametric cepstral mean normalization for robust speech recognition
- App usage predicts cognitive ability
- Lyric document embeddings
- Learning invariant representations
- Cease
- Data resource efficient
- Diffusion fields
- Randomized algorithms
- Range regularization
- Controllable music
- Query auto completion email
- Semand
- Delphi
- Steer
- Marrs
- Compress compare
- Generating gender alternatives
- Private personalized histogram
- Asr contextualization
- Mobileone
- Instruction following speech
- Pointconvformer
- Subspace disentanglement
- Kglens towards efficient
- Synthetic query gen llm
- Improved modelling federated datasets
- Conformer based speech
- Data incubation
- Hdr environment map estimation
- Generalized reinforcement meta learning few shot optimization
- Affine based attention
- Clip model zoo experts
- Mkqa
- Conversational semantic parsing
- Recipe for compute
- Comparative analysis personalized voice
- Wally search
- Least squares binary quantization neural networks
- Pro tip
- Spinning configurable scalable
- Equivariant neural rendering
- Knowledge transfer
- Armada augmented reality
- Biscuit scaffolding llm
- Contextq
- Pfl research
- Complex spatial datasets
- Conformal prediction
- Variance adaptive thompson sampling
- Kv runahead
- Compressing llms
- Superposition prompting
- Datacomp lm search
- Mofi
- Model driven heart
- Jointnet
- Transformers reason abstract symbols
- Label efficient sleep staging
- Direct 2 5
- Llms as generalizable policies
- Dynamic token pruning
- Intelligent visual deductive reasoning
- Fixally accessibility
- Talaria
- Openelm
- Frequency aware masked autoencoders
- Slingshot effect
- Vanishing gradients reinforcement
- Kpconvx
- Unified bayesian
- Fedhyper
- Privacy preserving quantile
- Overcoming pitfalls vision language
- Dense material
- Population expansion
- Hierarchical dynamic prompt
- Combining speakers multiple language
- Recurrent drafter
- Retrieval asr
- Direct large language
- Fast and explicit neural view synthesis
- Fed learning diff privacy
- Gender bias transfer
- Mia bench
- Ui intent
- Towards automated accessibility report
- Conditional loradapter
- Positional description
- How far can transformers
- Private density estimation
- Optimizing byte representation for asr
- Optimization without retraction
- Gsm symbolic
- Error resistance
- Novel view
- Data centric rlhf
- Asr n best rescoring
- Differentially private samplers
- Improving gflownets
- Pixel hierarchies
- Careful with that scalpel
- Realm reference
- Repcnn micro
- Remove downstream
- Acl pseudo labeling
- How smooth is attention
- Ferretv2
- Neural implementation breniers
- Entity disambiguation fusion decoding
- Whispering experts
- Posterior uncertainty quantification
- Ape active prompt engineering
- Codeact
- Minimal degree bias
- Computationally efficient calibration
- Sam clip
- Contrasting multiple representations
- Multi gyroscope calibration
- Modality dropout for improved performance
- Non verbal sound
- Hierarchical prosody modeling
- Hybrid transformer and ctc networks
- Improving on device speaker
- Stacked 1d convolutional networks
- Momentum approximation
- Omnipredictors for regression
- Class lm and word mapping
- Controllable neural text to speech synthesis
- Complementary language model and parallel bi lrnn
- Learning to rank intents in voice assistants
- Structured control nets for deep reinforcement learning
- Functional narratives
- Double talk robust multichannel accoustic echo
- Robust multichannel linear prediction
- Improving discrete latent representations with differentiable approximation bridges
- Learning to branch multi task learning
- Projected language models
- Collaborative agents
- Convkgyarn datasets
- A generative model joint natural language understanding generation
- Lower bounds for locally private estimation via communication complexity
- Single training dimension selection for word embedding with pca
- Empirical evaluation of active learning techniques for neural mt
- Toad
- Mirroring to build trust in digital assistants
- Multiple futures prediction
- Reverse transfer learning can word embeddings trained for different nlp tasks improve neural language models
- Developing measures of cognitive impairment in the real world from consumer grade multimodal sensor streams
- Model compatibility
- Raise to speak an accurate low power detector for activating voice assistants on smartwatches
- Towards learning multi agent negotiations via self play
- Addressing the loss metric mismatch with adaptive loss alignment
- Leveraging user engagement signals for entity labeling in virtual assistant
- Foundationdb record layer a multi tenant structured datastore
- Covid mobility
- Pine
- Nonlinear conjugate gradients for scaling synchronous distributed dnn training
- Acoustic neighbor embeddings
- Element level differential privacy
- Coarse to fine optimization for speech enhancement
- Data to text
- Implicit acceleration
- Context tuning retrieval
- Efficient 3dim
- Variational saccading efficient inference for large resolution images
- How easy
- New benchmark and progress toward improved weakly supervised learning
- Private and personalized
- Protection against reconstruction and its applications in private federated learning
- Stochastic weight averaging in parallel
- Connecting and comparing language model interpolation techniques
- Computational bottlenecks
- Understanding visualizing data iteration machine learning
- Stabilizing transformer training
- Filter distillation for network compression
- Learning from simulated and unsupervised images through adversarial training
- Progressive transport
- Tempura
- Multi task learning speaker verification
- Sndcnn
- Generating multilingual voices
- Accurate knowledge distillation
- Efficient large language
- Multi task learning voice trigger detection
- Improving language identification multilingual speakers
- Scalable multilingual frontend tts
- Variational neural machine translation with normalizing flows
- Handwritten chinese character recognition
- Vision model
- Contrastive alignment instructions
- Smart audit
- Relu strikes back
- Divide conquer
- Quality estimation data annotation
- Towards time
- Visual recognition accuracy
- Mobileclip
- Mel spectrogram
- Device directed
- Implicit bias
- Llm device directed speech detection
- Memory retaining
- Detecting emotion primitives
- Tic clip v2
- Ferretui mobile
- Construction paired knowledge graph
- Duo llm
- Human motion understanding
- Predictor corrector
- World english language model
- Leveraging acoustic cues
- Leveraging periodicity
- Model compression in practice
- Contextual bandits
- Adascale sgd
- Worst cases policy gradients
- Skip clip self supervised spatiotemporal representation learning by future clip order ranking
- Wasserstein flow
- Exploring retraining free speech recognition for intra sentential code switching
- Monge displacements
- Learning conditional error model for simulated time series data
- Error modeling
- On modeling asr word confidence
- Speaker independent speech driven visual speech synthesis using domain adapted acoustic models
- Overton
- Unsupervised style content separation
- Modeling patterns of smartphone usage and their relationship to cognitive health
- Transfer learning pruning
- Label shift estimators
- Data platform machine learning
- Modal representations
- Lattice based improvements for voice triggering
- Bandwidth embeddings
- Scaling smart
- Clip experts
- Revealing utilized rank
- Gesture customization
- Active learning for domain classification
- Generating molecular
- Sensing linear probing
- Predicting entity popularity to improve spoken entity recognition by virtual assistants
- Sliced wasserstein discrepancy for unsupervised domain adaptation
- Enhancing ctc speech
- Scale em
- Write hypothesis
- Reward generalization
- Cultural translation
- Multicalibration necessity
- One wide ffn
- Single stage diffusion
- Aggregate and adapt
- Item to item recommendation
- Neural network based modeling of phonetic durations
- Consistent collaborative filtering updates
- Continuous pseudo labeling
- Livepose
- Large vocabulary
- Differentially private heavy
- Human following
- Efficient convbn
- Synthdst
- Mm1 methods analysis insights
- Applying rlaif
- Data filtering networks
- Leveraging gans continuous path keyboard
- Speech is more
- Redrafter nvidia tensorrt llm
- Personalized heartrate
- Core ml on device llama
- Gender alternatives
- Mobile applications accessible
- Recognizing people photos
- Ml compute training on mac
- Inverse text normal
- Panoptic segmentation
- Siri voices
- Bridging the domain gap for neural models
- Personal voice
- Scenes differential privacy
- Speech recognition
- Learning to generate radiance fields
- On device scene analysis
- Latent language diffusion model
- Humanizing wer
- Federated learning speech
- Gan
- Voice trigger
- Face detection
- Neural engine transformers
- Salient object segmentation
- Roomplan
- Improving neural subspaces
- Modeling covid mobility
- Interpretable adaptive optimization
- Rgb x classification
- Handwriting
- Personalized hey siri
- Optimizing siri on homepod in far field settings
- Learning with privacy at scale
- Language identification from very short strings
- Cross initialization
- Hey siri
- Regionally specific language models
- Can global semantic context improve neural language models