conftrace_

neural network optimization

1293 papers

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model compression (3302) neural network (6616) convolutional neural network (4226) gradient descent (1144) stochastic gradient descent (1091) efficient computing (781) deep neural network (1803) large language model (13587) knowledge distillation (3725) representation learning (6206)

Papers

PA&DA: Jointly Sampling Path and Data for Consistent NAS CVPR 2023
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs ICCV 2023
Deep Directly-Trained Spiking Neural Networks for Object Detection ICCV 2023
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining ICML 2023
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization ACL 2023
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023
Training Trajectories of Language Models Across Scales ACL 2023
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping AAAI 2023
Algebraically Rigorous Quaternion Framework for the Neural Network Pose Estimation Problem ICCV 2023
Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set ICML 2023
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023
Resilient Binary Neural Network AAAI 2023
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization ICML 2023
A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation CVPR 2023
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023
ATHENA: Mathematical Reasoning with Thought Expansion EMNLP 2023
ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs EMNLP 2023
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks AAAI 2023
Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023
Fixed-Weight Difference Target Propagation AAAI 2023
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers ICML 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision EMNLP 2023