Optimization & Theory

Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023 Neural Fields with Hard Constraints of Arbitrary Differential Order NeurIPS 2023 Neural Fourier Filter Bank CVPR 2023 Neural Lens Modeling CVPR 2023 Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective ICML 2023 Neural networks trained with SGD learn distributions of increasing complexity ICML 2023 Neural Oscillators are Universal NeurIPS 2023 Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks AAAI 2023 Neural signature kernels as infinite-width-depth-limits of controlled ResNets ICML 2023 Neural Video Compression With Diverse Contexts CVPR 2023 NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization CVPR 2023 NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark EMNLP 2023 Noise Injection Node Regularization for Robust Learning ICLR 2023 Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be ICLR 2023 NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers CVPR 2023 Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think ICML 2023 Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities ICLR 2023 Norm-based Generalization Bounds for Sparse Neural Networks NeurIPS 2023 Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud AAAI 2023 No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models NeurIPS 2023 NVTC: Nonlinear Vector Transform Coding CVPR 2023 Nyström Method for Accurate and Scalable Implicit Differentiation AISTATS 2023 ObjectMatch: Robust Registration Using Canonical Object Correspondences CVPR 2023 OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement AAAI 2023 Omni Aggregation Networks for Lightweight Image Super-Resolution CVPR 2023