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ICCV2019 Model Compression Related Works!

Model Compression Papers!!

Main Conference

Tuesday, October 29, 2019, 1030–1300 Poster 1.1 (Hall B)

12. Adversarial Robustness vs. Model Compression, or Both?  
30. HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision  

Tuesday, October 29, 2019, 1330–1530 Oral 1.2A (Hall D1) Judy Hoffman (Facebook AI Research; Georgia Tech), Min Sun (National Tsing Hua Univ.)

4.	13:48	 Searching for MobileNetV3  
5.	13:53	 Data-Free Quantization Through Weight Equalization and Bias Correction  
7.	14:06	 Knowledge Distillation via Route Constrained Optimization  
9.	14:16	 Similarity-Preserving Knowledge Distillation  

Tuesday, October 29, 2019, 1530–1800 Poster 1.2 (Hall B)

53.	15:30	 Universally Slimmable Networks and Improved Training Techniques

Wednesday, October 30, 2019, 1030–1300 Poster 2.1 (Hall B)

39.	10:30	 Accelerate CNN via Recursive Bayesian Pruning  

Thursday, October 31, 2019, 1030–1300 Poster 3.1 (Hall B)

37	10:30	 On the Efficacy of Knowledge Distillation
43	10:30	 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
45	10:30	 Proximal Mean-Field for Neural Network Quantization
49	10:30	 Bayesian Optimized 1-Bit CNNs


Sat 2 Nov
Half Day AM	E5	Accelerating Computer Vision with Mixed Precision	Ming-Yu Liu(NVIDIA)


Mon 28 Oct
Full day	308BC	Neural Architects	Samuel Albanie

ETC(Personnal Interest)  

Mon 28 Oct(Half day AM) 307BC Lightweight Face Recognition Challenge Jiankang Deng
Sat 02 Nov(Full day) 301 Deep Learning for Visual SLAM

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