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Theory

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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