Papers
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
Youngmin Ro, Jin Young Choi
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
Automated Cross-prompt Scoring of Essay Traits
Robert Ridley, Liang He, Xin-yu Dai et al.
Automated Lay Language Summarization of Biomedical Scientific Reviews
Yue Guo, Wei Qiu, Yizhong Wang et al.
Automated Mechanism Design for Classification with Partial Verification
Hanrui Zhang, Yu Cheng, Vincent Conitzer
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans
Xin He, Shihao Wang, Xiaowen Chu et al.
Automated Reasoning and Learning for Automated Payroll Management
Sebastijan Dumancic, Wannes Meert, Stijn Goethals et al.
Automated Storytelling via Causal, Commonsense Plot Ordering
Prithviraj Ammanabrolu, Wesley Cheung, William Broniec et al.
Automated Symbolic Law Discovery: A Computer Vision Approach
Hengrui Xing, Ansaf Salleb-Aouissi, Nakul Verma
Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning
Yangyang Zhao, Zhenyu Wang, Zhenhua Huang
Automatic Generation of Flexible Plans via Diverse Temporal Planning
Yotam Amitai, Ayal Taitler, Erez Karpas
Automatic Optimal Multi-Agent Path Finding Algorithm Selector (Student Abstract)
Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing et al.
AutoText: An End-to-End AutoAI Framework for Text
Arunima Chaudhary, Alayt Issak, Kiran Kate et al.
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Russell Tsuchida, Tim Pearce, Chris van der Heide et al.
Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings
Petr Kučera, Petr Savický
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks
Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou et al.
Balanced Open Set Domain Adaptation via Centroid Alignment
Mengmeng Jing, Jingjing Li, Lei Zhu et al.
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White, Willie Neiswanger, Yash Savani
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
Gabriele Farina, Robin Schmucker, Tuomas Sandholm
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
Jake Tuero, Michael Buro
Bayesian Distributional Policy Gradients
Luchen Li, A. Aldo Faisal
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization
Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino
Bayesian Optimized Monte Carlo Planning
John Mern, Anil Yildiz, Zachary Sunberg et al.
Bayesian Persuasion under Ex Ante and Ex Post Constraints
Yakov Babichenko, Inbal Talgam-Cohen, Konstantin Zabarnyi
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
Serena Booth, Yilun Zhou, Ankit Shah et al.