Theory
5,579 papers
Papers per year
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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