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Latest AI Research on the Frontier

Axiolens tracks the frontier of AI research across 265K+ papers from arXiv, OpenReview, and HuggingFace. Explore the latest papers, claims, and the researchers shaping the field.

  • Hyperparameter optimization with approximate gradient
  • Introduzione all'Intelligenza Artificiale
  • Generalization Properties of Learning with Random Features
  • Multiple instance learning for sequence data with across bag dependencies
  • Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
  • 3D Time-lapse Reconstruction from Internet Photos
  • Classification accuracy as a proxy for two sample testing
  • Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
  • UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
  • Cross-scale predictive dictionaries
  • Multimodal Pivots for Image Caption Translation
  • TEMPO: Feature-Endowed Teichmüller Extremal Mappings of Point Clouds
  • Acceleration of the PDHGM on strongly convex subspaces
  • DNA-inspired online behavioral modeling and its application to spambot detection
  • Bitwise Neural Networks
  • Incremental Semiparametric Inverse Dynamics Learning
  • SimpleDS: A Simple Deep Reinforcement Learning Dialogue System
  • Generation of a Supervised Classification Algorithm for Time-Series Variable Stars with an Application to the LINEAR Dataset
  • A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews
  • Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips

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