Theory
5,579 papers
Papers per year
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Papers
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
ICML 2024
Distributional Properties of Subword Regularization
EMNLP 2024
Distribution Aware Metrics for Conditional Natural Language Generation
COLING 2024
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents
ACL 2024
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
EACL 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes
AAAI 2024
Doubly Robust Proximal Causal Learning for Continuous Treatments
ICLR 2024
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
ICLR 2024
Dual VC Dimension Obstructs Sample Compression by Embeddings
COLT 2024
E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning
AAAI 2024
EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation
Interspeech 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability
AISTATS 2024
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection
IJCAI 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
NeurIPS 2024
Efficient Conformal Prediction under Data Heterogeneity
AISTATS 2024
Efficient Discrepancy Testing for Learning with Distribution Shift
NeurIPS 2024
Efficient Graph Matching for Correlated Stochastic Block Models
NeurIPS 2024
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
NeurIPS 2024
Emergence of heavy tails in homogenized stochastic gradient descent
NeurIPS 2024
Emergent Abilities in Reduced-Scale Generative Language Models
NAACL 2024
Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions
COLING 2024
Emotion Arithmetic: Emotional Speech Synthesis via Weight Space Interpolation
Interspeech 2024
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations
AAAI 2024
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
IJCAI 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
NeurIPS 2024