Theory

Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps ICML 2021 Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021 Decoupling the Depth and Scope of Graph Neural Networks NeurIPS 2021 Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster AAAI 2021 Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space NeurIPS 2021 Deep Networks Provably Classify Data on Curves NeurIPS 2021 Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond AISTATS 2021 DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning AAAI 2021 Dependency Locality and Neural Surprisal as Predictors of Processing Difficulty: Evidence from Reading Times NAACL 2021 Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty AAAI 2021 Detection and Analysis of Attention Errors in Sequence-to-Sequence Text-to-Speech Interspeech 2021 Detection of Signal in the Spiked Rectangular Models ICML 2021 Differentially Private Correlation Clustering ICML 2021 Differentiating the Value Function by using Convex Duality AISTATS 2021 Directional Bias Amplification ICML 2021 Dirichlet Energy Constrained Learning for Deep Graph Neural Networks NeurIPS 2021 Disambiguatory Signals are Stronger in Word-initial Positions EACL 2021 Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation NeurIPS 2021 Discretization Drift in Two-Player Games ICML 2021 Discretized Integrated Gradients for Explaining Language Models EMNLP 2021 Dissecting Image Crops ICCV 2021 Distortion in Social Choice Problems: The First 15 Years and Beyond IJCAI 2021 Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting ICML 2021 Distribution-free uncertainty quantification for classification under label shift UAI 2021 Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals NeurIPS 2021