Theory

Implicit Regularization Towards Rank Minimization in ReLU Networks ALT 2023 Improved Algorithms for White-Box Adversarial Streams ICML 2023 Improved Kernel Alignment Regret Bound for Online Kernel Learning AAAI 2023 Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation ICML 2023 Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023 Incentive-Compatible Selection for One or Two Influentials IJCAI 2023 Incentivizing honest performative predictions with proper scoring rules UAI 2023 Inflow, Outflow, and Reciprocity in Machine Learning ICML 2023 Information-Theoretic Diffusion ICLR 2023 Information Theoretic Lower Bounds for Information Theoretic Upper Bounds NeurIPS 2023 Initialization Noise in Image Gradients and Saliency Maps CVPR 2023 INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023 Interpretable differencing of machine learning models UAI 2023 Intractability of Learning the Discrete Logarithm with Gradient-Based Methods ACML 2023 Intrinsic dimensionality and generalization properties of the R-norm inductive bias COLT 2023 Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts NeurIPS 2023 Invariance in Policy Optimisation and Partial Identifiability in Reward Learning ICML 2023 Investigating a Generalization of Probabilistic Material Implication and Bayesian Conditionals UAI 2023 Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation EACL 2023 Investigating how ReLU-networks encode symmetries NeurIPS 2023 Is Distance Matrix Enough for Geometric Deep Learning? NeurIPS 2023 Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning NeurIPS 2023 It’s about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits EACL 2023 It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance ACL 2023