conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Neural Network Optimization

3,648 papers

Papers per year

Papers

Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection CVPR 2023
Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation CVPR 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023
Samples With Low Loss Curvature Improve Data Efficiency CVPR 2023
Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models CVPR 2023
DisWOT: Student Architecture Search for Distillation WithOut Training CVPR 2023
Independent Component Alignment for Multi-Task Learning CVPR 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023
Transformer-Based Learned Optimization CVPR 2023
Towards Bridging the Performance Gaps of Joint Energy-Based Models CVPR 2023
Enhanced Training of Query-Based Object Detection via Selective Query Recollection CVPR 2023
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization CVPR 2023
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning CVPR 2023
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search CVPR 2023
AstroNet: When Astrocyte Meets Artificial Neural Network CVPR 2023
Towards More Efficient Insertion Transformer with Fractional Positional Encoding EACL 2023
Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation EACL 2023
SharPT: Shared Latent Space Prompt Tuning EACL 2023
Transformers with Learnable Activation Functions EACL 2023
Absolute Position Embedding Learns Sinusoid-like Waves for Attention Based on Relative Position EMNLP 2023
Meta-Learning Online Adaptation of Language Models EMNLP 2023
MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks EMNLP 2023
Non-autoregressive Streaming Transformer for Simultaneous Translation EMNLP 2023
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding EMNLP 2023