Optimization & Theory

An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models ACL 2023 A Neural State-Space Modeling Approach to Efficient Speech Separation Interspeech 2023 A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection EMNLP 2023 A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution ICLR 2023 A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models ACML 2023 An Inductive Bias for Tabular Deep Learning NeurIPS 2023 An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 An Inner Table Retriever for Robust Table Question Answering ACL 2023 An Inverse Scaling Law for CLIP Training NeurIPS 2023 An Operator Theoretic Approach for Analyzing Sequence Neural Networks AAAI 2023 An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization NeurIPS 2023 An SDE for Modeling SAM: Theory and Insights ICML 2023 Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input ICML 2023 Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method ACL 2023 Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark CVPR 2023 A Simple and General Binarization Method for Image Restoration Neural Networks ACML 2023 ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks AISTATS 2023 A Spectral Theory of Neural Prediction and Alignment NeurIPS 2023 A Survey on Model Compression and Acceleration for Pretrained Language Models AAAI 2023 ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs EMNLP 2023 Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination ACL 2023 A Unified Approach to Controlling Implicit Regularization via Mirror Descent JMLR 2023 A Unified Framework for Rank-based Loss Minimization NeurIPS 2023 A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023