Theory

Enough Is Enough! a Case Study on the Effect of Data Size for Evaluation Using Universal Dependencies COLING 2024 Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees AAAI 2024 EPVerifier: Accelerating Update Storms Verification with Edge-Predicate NSDI 2024 Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024 Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters NeurIPS 2024 Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NeurIPS 2024 Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods L4DC 2024 Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NeurIPS 2024 Estimating Shape Distances on Neural Representations with Limited Samples ICLR 2024 Euclidean distance compression via deep random features NeurIPS 2024 Euler Characteristic Tools for Topological Data Analysis JMLR 2024 Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024 Evaluating the design space of diffusion-based generative models NeurIPS 2024 Evaluating the World Model Implicit in a Generative Model NeurIPS 2024 Evaluating Vocabulary Usage in LLMs NAACL 2024 Eval-UA-tion 1.0: Benchmark for Evaluating Ukrainian (Large) Language Models COLING 2024 Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024 Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation NeurIPS 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions CVPR 2024 Exploiting Data Geometry in Machine Learning AAAI 2024 Exploring the cloud of feature interaction scores in a Rashomon set ICLR 2024 Exploring the Complexity of Deep Neural Networks through Functional Equivalence ICML 2024 Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions EMNLP 2024 Expressivity of ReLU-Networks under Convex Relaxations ICLR 2024 Faithful Rule Extraction for Differentiable Rule Learning Models ICLR 2024