Theory

Benign Overfitting in Two-layer ReLU Convolutional Neural Networks ICML 2023 Best Arm Identification with Fixed Budget: A Large Deviation Perspective NeurIPS 2023 Beyond calibration: estimating the grouping loss of modern neural networks ICLR 2023 Beyond mAP: Towards Better Evaluation of Instance Segmentation CVPR 2023 Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ACL 2023 Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels ICML 2023 Bicriteria Multidimensional Mechanism Design with Side Information NeurIPS 2023 Bidirectional Attention as a Mixture of Continuous Word Experts UAI 2023 Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023 Blurring Diffusion Models ICLR 2023 Boosting Multi-modal Model Performance with Adaptive Gradient Modulation ICCV 2023 Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs ICLR 2023 Boosting Verified Training for Robust Image Classifications via Abstraction CVPR 2023 Boundary Graph Neural Networks for 3D Simulations AAAI 2023 Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023 Brauer’s Group Equivariant Neural Networks ICML 2023 Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model AISTATS 2023 Bridging Information-Theoretic and Geometric Compression in Language Models EMNLP 2023 Broken Neural Scaling Laws ICLR 2023 Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs NeurIPS 2023 Calibration techniques for node classification using graph neural networks on medical image data MIDL 2023 CAME: Contrastive Automated Model Evaluation ICCV 2023 Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? L4DC 2023 Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics CoNLL 2023 Can Neural Network Memorization Be Localized? ICML 2023