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Neural Network Optimization

3648 directly classified papers

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Papers

Learned Initializations for Optimizing Coordinate-Based Neural Representations CVPR 2021
Neural Architecture Search With Random Labels CVPR 2021
Few-Shot Neural Architecture Search ICML 2021
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution ICML 2021
Recovering AES Keys with a Deep Cold Boot Attack ICML 2021
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning EACL 2021
Searching for Search Errors in Neural Morphological Inflection EACL 2021
Randomized Deep Structured Prediction for Discourse-Level Processing EACL 2021
Dialogue Response Selection with Hierarchical Curriculum Learning IJCNLP 2021
Optimizing Deeper Transformers on Small Datasets IJCNLP 2021
End-to-End Training of Neural Retrievers for Open-Domain Question Answering IJCNLP 2021
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation IJCNLP 2021
Parameter-Efficient Transfer Learning with Diff Pruning IJCNLP 2021
Towards Understanding the Spectral Bias of Deep Learning IJCAI 2021
Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching IJCAI 2021
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift ICCV 2021
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition ICCV 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021
UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching ICCV 2021
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML 2021
Acceleration via Fractal Learning Rate Schedules ICML 2021
Scaling Properties of Deep Residual Networks ICML 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise ICML 2021
The Heavy-Tail Phenomenon in SGD ICML 2021