Theory

Towards Exact Computation of Inductive Bias IJCAI 2024 Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation CVPR 2024 Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models ICLR 2024 Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024 Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline NeurIPS 2024 Towards Sharper Risk Bounds for Minimax Problems IJCAI 2024 Towards the Dynamics of a DNN Learning Symbolic Interactions NeurIPS 2024 Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024 Towards Understanding Extrapolation: a Causal Lens NeurIPS 2024 Toward the Identifiability of Comparative Deep Generative Models CLeaR 2024 Tracing Linguistic Heritage: Constructing a Somali-Italian Terminological Resource through Explorers’ Notebooks and Contemporary Corpus Analysis COLING 2024 Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification NeurIPS 2024 Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes NeurIPS 2024 Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment Interspeech 2024 Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis NeurIPS 2024 Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit JMLR 2024 Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NeurIPS 2024 Transformers Can Represent n-gram Language Models NAACL 2024 Transformers need glasses! Information over-squashing in language tasks NeurIPS 2024 Transformers on Markov data: Constant depth suffices NeurIPS 2024 Transformers Represent Belief State Geometry in their Residual Stream NeurIPS 2024 Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024 Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form IJCAI 2024 TuringQ: Benchmarking AI Comprehension in Theory of Computation EMNLP 2024 Uncertainty quantification and robustification of model-based controllers using conformal prediction L4DC 2024