Optimization & Theory

Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models ICML 2023 Integral Neural Networks CVPR 2023 Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small ICLR 2023 Interpretability with full complexity by constraining feature information ICLR 2023 Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023 INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations EMNLP 2023 ISAAC Newton: Input-based Approximate Curvature for Newton's Method ICLR 2023 Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function ICLR 2023 I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference ICCV 2023 Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning ACL 2023 Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers CVPR 2023 KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training NeurIPS 2023 KDEformer: Accelerating Transformers via Kernel Density Estimation ICML 2023 Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures NeurIPS 2023 LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning AAAI 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information NeurIPS 2023 Large deviations rates for stochastic gradient descent with strongly convex functions AISTATS 2023 Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings ACL 2023 LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML 2023 Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing EMNLP 2023 Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain AAAI 2023 Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection CVPR 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023 Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs NeurIPS 2023 Learning a Sparse Transformer Network for Effective Image Deraining CVPR 2023