Papers
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT
Madhura Pande, Aakriti Budhraja, Preksha Nema et al.
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
Naman Goel, Alfonso Amayuelas, Amit Deshpande et al.
The Influence of Memory in Multi-Agent Consensus
David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira et al.
The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network
Zijian Shi, Yu Chen, John Cartlidge
The Maximin Support Method: An Extension of the D’Hondt Method to Approval-Based Multiwinner Elections
Luis Sánchez-Fernández, Norberto Fernández García, Jesús A. Fisteus et al.
Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives
Benjamin Doerr, Weijie Zheng
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation
Junhong Shen, Lin F. Yang
The Parameterized Complexity of Clustering Incomplete Data
Eduard Eiben, Robert Ganian, Iyad Kanj et al.
The Power of Literal Equivalence in Model Counting
Yong Lai, Kuldeep S. Meel, Roland H. C. Yap
The Price of Anarchy in ROSCAS with Risk Averse Agents
Christian Ikeokwu
The Price of Connectivity in Fair Division
Xiaohui Bei, Ayumi Igarashi, Xinhang Lu et al.
The Sample Complexity of Teaching by Reinforcement on Q-Learning
Xuezhou Zhang, Shubham Bharti, Yuzhe Ma et al.
The Smoothed Complexity of Computing Kemeny and Slater Rankings
Lirong Xia, Weiqiang Zheng
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement
Mingzhe Li, Xiuying Chen, Min Yang et al.
The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits
Marcelo Arenas, Pablo Barceló, Leopoldo Bertossi et al.
The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media
Barrett R. Anderson, Adam M. Smith
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
Will Dabney, André Barreto, Mark Rowland et al.
Thinking Fast and Slow in AI
Grady Booch, Francesco Fabiano, Lior Horesh et al.
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation
Mengyun Chen, Kaixin Gao, Xiaolei Liu et al.
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
Xudong Wang, Stella X. Yu
Time-Independent Planning for Multiple Moving Agents
Keisuke Okumura, Yasumasa Tamura, Xavier Défago
Time Series Anomaly Detection with Multiresolution Ensemble Decoding
Lifeng Shen, Zhongzhong Yu, Qianli Ma et al.