PSA: Anyone with a link can view your Granola notes by default | The Verge
Granola, the AI-powered note-taking app, makes your notes viewable by anyone with a link by default. It also turns on AI training for any...
ML algorithms, training, and inference
Granola, the AI-powered note-taking app, makes your notes viewable by anyone with a link by default. It also turns on AI training for any...
Hey everyone, We have been working on a real-time camera engine for iOS that currently uses a purely deterministic Computer Vision approa...
We did experiments comparing Optuna & autoresearch. Autoresearch converges faster, is more cost-efficient, and even generalizes bette...
Abstract page for arXiv paper 2603.25250: Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language ...
Abstract page for arXiv paper 2603.25170: Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling
Abstract page for arXiv paper 2603.25164: PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented ...
Abstract page for arXiv paper 2603.25145: Learning to Rank Caption Chains for Video-Text Alignment
Abstract page for arXiv paper 2603.25155: Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models
Abstract page for arXiv paper 2603.25150: Goodness-of-pronunciation without phoneme time alignment
Abstract page for arXiv paper 2603.25146: Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence
Abstract page for arXiv paper 2603.25144: FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation
Abstract page for arXiv paper 2603.25068: Ultra-fast Traffic Nowcasting and Control via Differentiable Agent-based Simulation
Abstract page for arXiv paper 2603.25015: Imperative Interference: Social Register Shapes Instruction Topology in Large Language Models
Abstract page for arXiv paper 2603.25126: MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
Abstract page for arXiv paper 2603.25024: Improving Infinitely Deep Bayesian Neural Networks with Nesterov's Accelerated Gradient Method
Abstract page for arXiv paper 2603.25112: Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory
Abstract page for arXiv paper 2603.24946: MobileDev-Bench: A Comprehensive Benchmark for Evaluating Language Models on Mobile Application...
Abstract page for arXiv paper 2603.25109: MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness
Abstract page for arXiv paper 2603.24917: Estimating near-verbatim extraction risk in language models with decoding-constrained beam search
Abstract page for arXiv paper 2603.25099: Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Opti...
Abstract page for arXiv paper 2603.25083: Learning domain-invariant features through channel-level sparsification for Out-Of Distribution...
Abstract page for arXiv paper 2603.25063: TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visual...
Abstract page for arXiv paper 2603.25056: The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Create...
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