Papers
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types
Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown et al.
The Effect of Preferences in Abstract Argumentation under a Claim-Centric View
Michael Bernreiter, Wolfgang Dvorak, Anna Rapberger et al.
The Expressive Power of Ad-Hoc Constraints for Modelling CSPs
Ruiwei Wang, Roland H.C. Yap
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models
Li Wang, Zhiguo Fu, Yingcong Zhou et al.
The Influence of Dimensions on the Complexity of Computing Decision Trees
Stephen G. Kobourov, Maarten Löffler, Fabrizio Montecchiani et al.
The Linear Distance Traveling Tournament Problem Allows an EPTAS
Jingyang Zhao, Mingyu Xiao
The Many Faces of Adversarial Machine Learning
Yevgeniy Vorobeychik
The Multi-Agent Transportation Problem
Pascal Bachor, Rolf-David Bergdoll, Bernhard Nebel
The Naughtyformer: A Transformer Understands and Moderates Adult Humor (Student Abstract)
Leonard Tang, Alexander Cai, Jason Wang
The Parameterized Complexity of Network Microaggregation
Václav Blažej, Robert Ganian, Dušan Knop et al.
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
Serena Booth, W. Bradley Knox, Julie Shah et al.
The Role of Heuristics and Biases during Complex Choices with an AI Teammate
Nikolos Gurney, John H. Miller, David V. Pynadath
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure
Xing Chen, Dongcui Diao, Hechang Chen et al.
The Unreasonable Effectiveness of Deep Evidential Regression
Nis Meinert, Jakob Gawlikowski, Alexander Lavin
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces
Aidan Boyd, Patrick Tinsley, Kevin Bowyer et al.
THMA: Tencent HD Map AI System for Creating HD Map Annotations
Kun Tang, Xu Cao, Zhipeng Cao et al.
Tighter Robust Upper Bounds for Options via No-Regret Learning
Shan Xue, Ye Du, Liang Xu
Tight Inapproximability for Graphical Games
Argyrios Deligkas, John Fearnley, Alexandros Hollender et al.
Tight Performance Guarantees of Imitator Policies with Continuous Actions
Davide Maran, Alberto Maria Metelli, Marcello Restelli
Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning
Jong-whi Lee, Jinhong Jung
Time Series Contrastive Learning with Information-Aware Augmentations
Dongsheng Luo, Wei Cheng, Yingheng Wang et al.
TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields
Tianli Zhao, Jiayuan Chen, Cong Leng et al.
Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language
Yuqi Liu, Luhui Xu, Pengfei Xiong et al.
TopicFM: Robust and Interpretable Topic-Assisted Feature Matching
Khang Truong Giang, Soohwan Song, Sungho Jo