Theory
5,579 papers
Papers per year
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2000
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Papers
Generalization Analysis for Multi-Label Learning
ICML 2024
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation
ICML 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
AISTATS 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
NeurIPS 2024
Generalization error of spectral algorithms
ICLR 2024
Generalization of Hamiltonian algorithms
NeurIPS 2024
Generalized Fast Exact Conformalization
NeurIPS 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
NeurIPS 2024
Generating Benchmarks for Factuality Evaluation of Language Models
EACL 2024
Geometry of naturalistic object representations in recurrent neural network models of working memory
NeurIPS 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
NeurIPS 2024
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
ICLR 2024
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
ICLR 2024
Goidelex: A Lexical Resource for Old Irish
COLING 2024
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
ICLR 2024
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
NAACL 2024
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
NeurIPS 2024
Graph Neural Networks and Arithmetic Circuits
NeurIPS 2024
Graph neural networks and non-commuting operators
NeurIPS 2024
Graph Neural Networks Do Not Always Oversmooth
NeurIPS 2024
Graph Neural Networks Use Graphs When They Shouldn’t
ICML 2024
Grokking as a First Order Phase Transition in Two Layer Networks
ICLR 2024
Grokking phase transitions in learning local rules with gradient descent
JMLR 2024
Grounding and Enhancing Grid-based Models for Neural Fields
CVPR 2024
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
ICLR 2024