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Model Compression

1,952 papers

Papers per year

6
114
489
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Papers

Rethinking Network Pruning – under the Pre-train and Fine-tune Paradigm NAACL 2021
Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects NAACL 2021
Modality-specific Distillation NAACL 2021
UniParma at SemEval-2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model SEMEVAL 2021
hub at SemEval-2021 Task 5: Toxic Span Detection Based on Word-Level Classification SEMEVAL 2021
Structured sparsification with joint optimization of group convolution and channel shuffle UAI 2021
Effectiveness of Arbitrary Transfer Sets for Data-Free Knowledge Distillation WACV 2021
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression WACV 2021
Holistic Filter Pruning for Efficient Deep Neural Networks WACV 2021
Adversarially Robust Streaming Algorithms via Differential Privacy NIPS 2020
Neuron Merging: Compensating for Pruned Neurons NIPS 2020
Belief Propagation Neural Networks NIPS 2020
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient NIPS 2020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing NIPS 2020
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity NIPS 2020
Attribution Preservation in Network Compression for Reliable Network Interpretation NIPS 2020
Robust Quantization: One Model to Rule Them All NIPS 2020
Bayesian Bits: Unifying Quantization and Pruning NIPS 2020
Pruning neural networks without any data by iteratively conserving synaptic flow NIPS 2020
Rotated Binary Neural Network NIPS 2020
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference NIPS 2020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NIPS 2020
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NIPS 2020
BRP-NAS: Prediction-based NAS using GCNs NIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NIPS 2020