Optimization & Theory

BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration CVPR 2023 Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing NeurIPS 2023 CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input CVPR 2023 Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models EMNLP 2023 Calibrating a Deep Neural Network with Its Predecessors IJCAI 2023 CAME: Confidence-guided Adaptive Memory Efficient Optimization ACL 2023 Can Forward Gradient Match Backpropagation? ICML 2023 Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? ACML 2023 Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023 CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models NeurIPS 2023 CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization ACL 2023 CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care NeurIPS 2023 Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023 Certification of Distributional Individual Fairness NeurIPS 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023 CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023 CF-ViT: A General Coarse-to-Fine Method for Vision Transformer AAAI 2023 Chasing Clouds: Differentiable Volumetric Rasterisation of Point Clouds as a Highly Efficient and Accurate Loss for Large-Scale Deformable 3D Registration ICCV 2023 CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval ACL 2023 Class Adaptive Network Calibration CVPR 2023 Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023 Closing the gap between the upper bound and lower bound of Adam's iteration complexity NeurIPS 2023 CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ICML 2023