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TitleStatusHype
DeepPERF: A Deep Learning-Based Approach For Improving Software Performance—0
Performance Evaluation of Dynamic Metasurface Antennas: Impact of Insertion Losses and Coupling—0
Estimation and inference for the Wasserstein distance between mixing measures in topic models—0
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert—0
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing ModelsCode2
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle RetrievalCode1
KeyCLD: Learning Constrained Lagrangian Dynamics in Keypoint Coordinates from Images—0
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic ParsingCode1
Penalty Weights in QUBO Formulations: Permutation Problems—0
A Universal Adversarial Policy for Text ClassifiersCode0
From Universal Humanoid Control to Automatic Physically Valid Character Creation—0
Semiparametric Single-Index Estimation for Average Treatment Effects—0
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape CollectionsCode0
Conformal prediction set for time-seriesCode1
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation—0
Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA)—0
Conformal Off-policy PredictionCode0
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory—0
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring—0
Robust Adaptive Beamforming via Worst-Case SINR Maximization with Nonconvex Uncertainty Sets—0
Case-Based Inverse Reinforcement Learning Using Temporal CoherenceCode0
A non-graphical representation of conditional independence via the neighbourhood lattice—0
Machine Learning Inference on Inequality of Opportunity—0
Fundamental Limits in Formal Verification of Message-Passing Neural Networks—0
Fast Deep Autoencoder for Federated learning—0
A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spacesCode0
Learning Non-Vacuous Generalization Bounds from OptimizationCode0
Bounded Rationality and Animal Spirits: A Fluctuation-Response Approach to Slutsky Matrices—0
Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified SketchesCode0
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection—0
Spectral Bias Outside the Training Set for Deep Networks in the Kernel RegimeCode0
MPE inference using an Incremental Build-Infer-Approximate Paradigm—0
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability GuaranteesCode1
Discovering Ancestral Instrumental Variables for Causal Inference from Observational DataCode0
Randomization Inference Tests for Shift-Share Designs—0
EfficientNeRF: Efficient Neural Radiance FieldsCode1
Data Sets of Eating Disorders by Categorizing Reddit and Tumblr Posts: A Multilingual Comparative Study Based on Empirical Findings of Texts and Images—0
Beyond Explanation: A Case for Exploratory Text Visualizations of Non-Aggregated, Annotated Datasets—0
Valet: Rule-Based Information Extraction for Rapid Deployment—0
What Is Going through Your Mind? Metacognitive Events Classification in Human-Agent Interactions—0
Language Technologies for the Creation of Multilingual Terminologies. Lessons Learned from the SSHOC Project—0
Causal Investigation of Public Opinion during the COVID-19 Pandemic via Social Media Text—0
Non-Intrusive Reduced Models based on Operator Inference for Chaotic Systems—0
Transformer with Fourier Integral Attentions—0
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts—0
Comparative statics with adjustment costs and the Le Chatelier principle—0
Communication-efficient distributed eigenspace estimation with arbitrary node failures—0
Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse ProblemsCode1
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional MatchingCode1
A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groupsCode0
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