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Model Compression

1503 directly classified papers

Papers per year

Papers

Training Your Sparse Neural Network Better with Any Mask ICML 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision ICML 2022
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning AISTATS 2022
Optimal channel selection with discrete QCQP AISTATS 2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization ACL 2022
SDR: Efficient Neural Re-ranking using Succinct Document Representation ACL 2022
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models ACL 2022
Compression of Generative Pre-trained Language Models via Quantization ACL 2022
Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022
Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution WACV 2022
SPDY: Accurate Pruning with Speedup Guarantees ICML 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning ICML 2022
The State of Sparse Training in Deep Reinforcement Learning ICML 2022
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning AAAI 2022
Towards Light-Weight and Real-Time Line Segment Detection AAAI 2022
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition AAAI 2022
Defending against Model Stealing via Verifying Embedded External Features AAAI 2022
Equal Bits: Enforcing Equally Distributed Binary Network Weights AAAI 2022
DeepHardMark: Towards Watermarking Neural Network Hardware AAAI 2022
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy AAAI 2022
MLink: Linking Black-Box Models for Collaborative Multi-Model Inference AAAI 2022
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring AAAI 2022
Multilingual Code Snippets Training for Program Translation AAAI 2022
Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract) AAAI 2022
Be Like Water: Adaptive Floating Point for Machine Learning ICML 2022