Optimization

Exact Soft Analytical Side-Channel Attacks using Tractable Circuits ICML 2024 Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization NeurIPS 2024 ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking ICML 2024 Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024 Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport NeurIPS 2024 Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers AISTATS 2024 Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization NeurIPS 2024 Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024 Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion NeurIPS 2024 Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NeurIPS 2024 EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning EMNLP 2024 Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring ICML 2024 Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization ICML 2024 Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations AAAI 2024 Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations NeurIPS 2024 Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation AAAI 2024 Exploring Quantization for Efficient Pre-Training of Transformer Language Models EMNLP 2024 Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales NAACL 2024 Exploring the Traditional NMT Model and Large Language Model for Chat Translation EMNLP 2024 Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task NAACL 2024 Exponential Hardness of Optimization from the Locality in Quantum Neural Networks AAAI 2024 Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification AAAI 2024 Extending Context Window of Large Language Models from a Distributional Perspective EMNLP 2024 Extending Input Contexts of Language Models through Training on Segmented Sequences NAACL 2024 Extensive-Form Game Solving via Blackwell Approachability on Treeplexes NeurIPS 2024