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Theory

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Papers

Rethinking FID: Towards a Better Evaluation Metric for Image Generation CVPR 2024 Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds ICLR 2024 Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity NeurIPS 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024 Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability ICLR 2024 Rethinking the Uniformity Metric in Self-Supervised Learning ICLR 2024 Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods ACL 2024 Revisiting Differentially Private ReLU Regression NeurIPS 2024 Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning NeurIPS 2024 Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024 Revisiting Sampson Approximations for Geometric Estimation Problems CVPR 2024 Riemannian Multinomial Logistics Regression for SPD Neural Networks CVPR 2024 Robust group and simultaneous inferences for high-dimensional single index model NeurIPS 2024 Robustifying State-space Models for Long Sequences via Approximate Diagonalization ICLR 2024 Robustness Verification of Multi-Class Tree Ensembles AAAI 2024 Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024 Runtime Analysis of the SMS-EMOA for Many-Objective Optimization AAAI 2024 Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations AAAI 2024 Sample-and-Bound for Non-convex Optimization AAAI 2024 Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024 Sampling from the Mean-Field Stationary Distribution COLT 2024 SaProt: Protein Language Modeling with Structure-aware Vocabulary ICLR 2024 Scaling Law for Time Series Forecasting NeurIPS 2024 Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024 Scaling Laws for Associative Memories ICLR 2024