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Showing 1601–1650 of 3589 papers

TitleStatusHype
3D Data Augmentation for Driving Scenes on Camera—0
On Trivalent Logics, Compound Conditionals, and Probabilistic Deduction Theorems—0
A XGBoost Algorithm-based Fatigue Recognition Model Using Face Detection—0
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments—0
Architext: Language-Driven Generative Architecture Design—0
Improved Tree Search for Automatic Program Synthesis—0
Data-Efficient Control Barrier Function Refinement—0
Operating data of a specific Aquatic Center as a Benchmark for dynamic model learning: search for a valid prediction model over an 8-hour horizon—0
Inference on Optimal Dynamic Policies via Softmax ApproximationCode0
How Auditing Methodologies Can Impact Our Understanding of YouTube's Recommendation Systems—0
Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile DeliveryCode0
EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference—0
Stabilizing the Maximal Entropy Moment Method for Rarefied Gas Dynamics at Single-PrecisionCode0
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models—0
Censored Quantile Regression with Many Controls—0
Hallucinated Adversarial Control for Conservative Offline Policy EvaluationCode0
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy—0
LQR-trees with Sampling Based Exploration of the State Space—0
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation—0
The 2022 NIST Language Recognition Evaluation—0
The First-stage F Test with Many Weak Instruments—0
Valid Information Guidance Network for Compressed Video Quality Enhancement—0
Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models—0
Global Algorithms for Mean-Variance Optimization in Markov Decision Processes—0
Robust Field-level Likelihood-free Inference with Galaxies—0
Statistical Inference with Stochastic Gradient Methods under φ-mixing Data—0
Calibrated Regression Against An Adversary Without Regret—0
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments—0
Communication-Efficient Distributed Estimation and Inference for Cox's Model—0
Fact or Artifact? Revise Layer-wise Relevance Propagation on various ANN Architectures—0
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific PlotsCode0
Distributionally Robust Recourse ActionCode0
Valid Inference for Machine Learning Model ParametersCode0
Learning to Retrieve Engaging Follow-Up QueriesCode0
Exploring Local Norms in Exp-concave Statistical Learning—0
Table Tennis Stroke Detection and Recognition Using Ball Trajectory Data—0
LOCUS: LOcalization with Channel Uncertainty and Sporadic Energy—0
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent EnvironmentsCode0
Photonic Neural Networks: A Compact Review—0
Online Statistical Inference for Nonlinear Stochastic Approximation with Markovian Data—0
Toward matrix multiplication for deep learning inference on the Xilinx Versal—0
Restoring the saturation response of a PMT using pulse-shape and artificial-neural-networks—0
Kernel Ridge Regression Inference—0
Local retail electricity markets for distribution grid services—0
Entanglement as a Method to Reduce Uncertainty—0
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based TestingCode0
Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks—0
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness—0
Combining self-labeling and demand based active learning for non-stationary data streams—0
A unified recipe for deriving (time-uniform) PAC-Bayes bounds—0
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