Optimization & Theory

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency NeurIPS 2023 End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023 Energy and Carbon Considerations of Fine-Tuning BERT EMNLP 2023 Energy-Efficient Adaptive 3D Sensing CVPR 2023 Energy Transformer NeurIPS 2023 Enhance Robustness of Machine Learning with Improved Efficiency AAAI 2023 Enhancing Abstractiveness of Summarization Models through Calibrated Distillation EMNLP 2023 Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing EMNLP 2023 Equilibrium Point Learning ACML 2023 Equivariant Architectures for Learning in Deep Weight Spaces ICML 2023 ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023 Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation ICLR 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule ICML 2023 Expected Gradients of Maxout Networks and Consequences to Parameter Initialization ICML 2023 Experimental Observations of the Topology of Convolutional Neural Network Activations AAAI 2023 Explicit Regularization in Overparametrized Models via Noise Injection AISTATS 2023 Exploring Context-Aware Evaluation Metrics for Machine Translation EMNLP 2023 Exploring Geometry of Blind Spots in Vision models NeurIPS 2023 Exploring Robust Overfitting for Pre-trained Language Models ACL 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023 Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework AAAI 2023 F2-NeRF: Fast Neural Radiance Field Training With Free Camera Trajectories CVPR 2023 FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer AAAI 2023