Papers
AutoBERT-Zero: Evolving BERT Backbone from Scratch
Jiahui Gao, Hang Xu, Han Shi et al.
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms
Hang Xu, Kai Li, Haobo Fu et al.
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin, Qingzhong Wang, Siyu Huang et al.
Automatic Product Copywriting for E-commerce
Xueying Zhang, Yanyan Zou, Hainan Zhang et al.
A Variant of Concurrent Constraint Programming on GPU
Pierre Talbot, Frédéric G Pinel, Pascal Bouvry
Axiomatization of Aggregates in Answer Set Programming
Jorge Fandinno, Zachary Hansen, Yuliya Lierler
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification
Ammarah Farooq, Muhammad Awais, Josef Kittler et al.
BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers
Roberto Navigli, Rexhina Blloshmi, Abelardo Carlos Martínez Lorenzo
Backdoor Attacks on the DNN Interpretation System
Shihong Fang, Anna Choromanska
Backprop-Free Reinforcement Learning with Active Neural Generative Coding
Alexander G. Ororbia, Ankur Mali
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
Soumyasundar Pal, Antonios Valkanas, Florence Regol et al.
Balanced Self-Paced Learning for AUC Maximization
Bin Gu, Chenkang Zhang, Huan Xiong et al.
Balancing the Spread of Two Opinions in Sparse Social Networks (Student Abstract)
Dušan Knop, Šimon Schierreich, Ondřej Suchý
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms
Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani et al.
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu et al.
Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images
Thomas Lucas, Philippe Weinzaepfel, Gregory Rogez
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
Yuheng Zhang, Hanghang Tong, Yinglong Xia et al.
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition
Miao Yin, Huy Phan, Xiao Zang et al.
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation
Porter Jenkins, Hua Wei, J. Stockton Jenkins et al.
Bayesian Optimisation for Active Monitoring of Air Pollution
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Bayesian Optimization over Permutation Spaces
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa et al.
Bayesian Persuasion in Sequential Decision-Making
Jiarui Gan, Rupak Majumdar, Goran Radanovic et al.
‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube
Krithika Ramesh, Ashiqur R. KhudaBukhsh, Sumeet Kumar