Optimization

End-to-end Feature Selection Approach for Learning Skinny Trees AISTATS 2024 End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty UAI 2024 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NeurIPS 2024 Energy-guided Entropic Neural Optimal Transport ICLR 2024 Enforcing Constraints in RNA Secondary Structure Predictions: A Post-Processing Framework Based on the Assignment Problem ICML 2024 Enhanced Reverberation as Supervision for Unsupervised Speech Separation Interspeech 2024 Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024 Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation COLING 2024 Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization AISTATS 2024 Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024 Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing EMNLP 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Enhancing Multi-Label Classification via Dynamic Label-Order Learning AAAI 2024 Enhancing Neural Training via a Correlated Dynamics Model ICLR 2024 Enhancing Non-Matching Reference Speech Quality Assessment through Dynamic Weight Adaptation Interspeech 2024 Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024 Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models ECCV 2024 Enhancing Translation Ability of Large Language Models by Leveraging Task-Related Layers COLING 2024 Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning ICML 2024 Ensemble Pruning for Out-of-distribution Generalization ICML 2024 Ensembles of Hybrid and End-to-End Speech Recognition. COLING 2024 Entropic Gromov-Wasserstein Distances: Stability and Algorithms JMLR 2024 Entropy Induced Pruning Framework for Convolutional Neural Networks AAAI 2024 Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context AAAI 2024 Equivariant Deep Weight Space Alignment ICML 2024