Theory

Understanding Certified Training with Interval Bound Propagation ICLR 2024 Understanding Emergent Abilities of Language Models from the Loss Perspective NeurIPS 2024 Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024 Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation ICLR 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NeurIPS 2024 Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NeurIPS 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation ICML 2024 Understanding the difficulty of solving Cauchy problems with PINNs L4DC 2024 Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling NeurIPS 2024 Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective NeurIPS 2024 Understanding Transformers via N-Gram Statistics NeurIPS 2024 UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling NeurIPS 2024 Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024 Universal In-Context Approximation By Prompting Fully Recurrent Models NeurIPS 2024 Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models COLT 2024 Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND ICLR 2024 Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NeurIPS 2024 Unpacking Bias: An Empirical Study of Bias Measurement Metrics, Mitigation Algorithms, and Their Interactions COLING 2024 Unravelling in Collaborative Learning NeurIPS 2024 Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization NeurIPS 2024 Updates on the Complexity of SHAP Scores IJCAI 2024 Variance estimation in compound decision theory under boundedness NeurIPS 2024 Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution EMNLP 2024 Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target IJCAI 2024 Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models NeurIPS 2024