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TitleStatusHype
Improving Evaluation of Document-level Machine Translation Quality Estimation—0
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets—0
Improving Ferns Ensembles by Sparsifying and Quantising Posterior Probabilities—0
Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans—0
Improving learnability of neural networks: adding supplementary axes to disentangle data representation—0
Probabilistic Conformal Prediction with Approximate Conditional Validity—0
Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Prefilling Attack—0
A sharp uniform-in-time error estimate for Stochastic Gradient Langevin Dynamics—0
Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation—0
Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift—0
Generalizability vs. Counterfactual Explainability Trade-Off—0
Conditional independence structures over four discrete random variables revisited: conditional Ingleton inequalities—0
Generalizability through Explainability: Countering Overfitting with Counterfactual Examples—0
Generalisation error in learning with random features and the hidden manifold model—0
Conditional Generative Modeling for De Novo Hierarchical Multi-Label Functional Protein Design—0
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action—0
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration—0
Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection—0
A Sharp Test for the Judge Leniency Design—0
Incontestable Assignments—0
A Light CNN for detecting COVID-19 from CT scans of the chest—0
Incremental Composition of Learned Control Barrier Functions in Unknown Environments—0
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments—0
Asymptotic Theory for Two-Way Clustering—0
GCC: Generative Calibration Clustering—0
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer—0
GAZED- Gaze-guided Cinematic Editing of Wide-Angle Monocular Video Recordings—0
Independence Is Not an Issue in Neurosymbolic AI—0
Conditional Causal Relationships between Emotions and Causes in Texts—0
A Sharp and Robust Test for Selective Reporting—0
Gaussian Process Surrogate Models for Efficient Estimation of Structural Response Distributions and Order Statistics—0
Gaussian Processes on Distributions based on Regularized Optimal Transport—0
Conditional β-VAE for De Novo Molecular Generation—0
Inference for an Algorithmic Fairness-Accuracy Frontier—0
GAT: Generative Adversarial Training for Adversarial Example Detection and Classification—0
Inference for Heteroskedastic PCA with Missing Data—0
Conditional β-VAE for De Novo Molecular Generation—0
Inference for Large Scale Regression Models with Dependent Errors—0
Algorithms for Batch Hierarchical Reinforcement Learning—0
Gamma/hadron separation in the TAIGA experiment with neural network methods—0
Condensing a Sequence to One Informative Frame for Video Recognition—0
Inference for multi-valued heterogeneous treatment effects when the number of treated units is small—0
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging—0
Inference for Regression with Variables Generated by AI or Machine Learning—0
Inference in continuous-time change-point models—0
Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation—0
G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models—0
Simple subvector inference on sharp identified set in affine models—0
Concurrent Linguistic Error Detection (CLED) for Large Language Models—0
Concept Embedding Analysis: A Review—0
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