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Poster
Wed 8:00 Circuit-Based Intrinsic Methods to Detect Overfitting
Satrajit Chatterjee · Alan Mishchenko
Poster
Wed 5:00 Operation-Aware Soft Channel Pruning using Differentiable Masks
Minsoo Kang · Bohyung Han
Poster
Thu 12:00 Optimizer Benchmarking Needs to Account for Hyperparameter Tuning
Prabhu Teja Sivaprasad · Florian Mai · Thijs Vogels · Martin Jaggi · Fran├žois Fleuret
Poster
Thu 7:00 On hyperparameter tuning in general clustering problemsm
Xinjie Fan · Yuguang Yue · Purnamrita Sarkar · Y. X. Rachel Wang
Poster
Tue 9:00 Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh · Ehsan Hajiramezanali · Shahin Boluki · Mingyuan Zhou · Nick Duffield · Krishna Narayanan · Xiaoning Qian
Poster
Tue 7:00 Familywise Error Rate Control by Interactive Unmasking
Boyan Duan · Aaditya Ramdas · Larry Wasserman
Poster
Wed 13:00 Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel · Rana Ali Amjad · Marinus van Baalen · Christos Louizos · Tijmen Blankevoort
Poster
Wed 9:00 Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Jize Zhang · Bhavya Kailkhura · T. Yong-Jin Han
Poster
Wed 5:00 An Optimistic Perspective on Offline Deep Reinforcement Learning
Rishabh Agarwal · Dale Schuurmans · Mohammad Norouzi
Poster
Thu 8:00 An Imitation Learning Approach for Cache Replacement
Evan Liu · Milad Hashemi · Kevin Swersky · Parthasarathy Ranganathan · Junwhan Ahn
Poster
Wed 12:00 Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
Zahra Monfared · Daniel Durstewitz
Poster
Wed 8:00 Boosting Deep Neural Network Efficiency with Dual-Module Inference
Liu Liu · Lei Deng · Zhaodong Chen · yuke wang · Shuangchen Li · Jingwei Zhang · Yihua Yang · Zhenyu Gu · Yufei Ding · Yuan Xie