SOTAVerified

Decision Making

Papers

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Showing 5926–5950 of 12311 papers

TitleStatusHype
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision MakingCode0
Dynamic User Segmentation and Usage Profiling—0
Fair Clustering via Hierarchical Fair-Dirichlet Process—0
Hierarchical Deep Counterfactual Regret MinimizationCode0
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-MakingCode0
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities—0
The Economics of Augmented and Virtual Reality—0
Self-Supervised Reinforcement Learning that Transfers using Random Features—0
Using Limited Trial Evidence to Credibly Choose Treatment Dosage when Efficacy and Adverse Effects Weakly Increase with Dose—0
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds—0
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize—0
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making—0
Adversarial Attacks on Online Learning to Rank with Click Feedback—0
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models—0
Preliminary studies: Comparing LSTM and BLSTM Deep Neural Networks for Power Consumption Prediction—0
Better Batch for Deep Probabilistic Time Series ForecastingCode0
Patient Outcome Predictions Improve Operations at a Large Hospital Network—0
CUEING: a lightweight model to Capture hUman attEntion In driviNG—0
Counterfactual Generative Models for Time-Varying TreatmentsCode0
Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions—0
Asking Before Acting: Gather Information in Embodied Decision Making with Language Models—0
C-MCTS: Safe Planning with Monte Carlo Tree SearchCode0
Prototype-Based Interpretability for Legal Citation Prediction—0
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers—0
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global WorkspaceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified