Papers
The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections
Zhixing Lu, Yuanyuan Sun, Zhihao Yang et al.
The Role of Perception, Acceptance, and Cognition in the Usefulness of Robot Explanations
Hana Kopecka, Jose Such, Michael Luck
The Transformation Logics
Alessandro Ronca
The Trembling-Hand Problem for LTLf Planning
Pian Yu, Shufang Zhu, Giuseppe De Giacomo et al.
TIM: An Efficient Temporal Interaction Module for Spiking Transformer
Sicheng Shen, Dongcheng Zhao, Guobin Shen et al.
Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme
Yun Sing Koh, Albert Bifet, Karin Bryan et al.
ToDo: Token Downsampling for Efficient Generation of High-Resolution Images
Ethan Smith, Nayan Saxena, Aninda Saha
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion
Latifa Errami, El Houcine Bergou
To Promote Full Cooperation in Social Dilemmas, Agents Need to Unlearn Loyalty
Chin-wing Leung, Tom Lenaerts, Paolo Turrini
Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space
Viet Quan Le, Viet Cuong Ta
Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections
Cynthia Maushagen, David Niclaus, Paul Nüsken et al.
Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts
Philipp Kunz, Ilche Georgievski, Marco Aiello
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
Yunfan Zhao, Nikhil Behari, Edward Hughes et al.
Towards a Principle-based Framework for Assessing the Contribution of Formulas on the Conflicts of Knowledge Bases
Badran Raddaoui, Christian Straßer, Said Jabbour
Towards a Resilient Intelligent Automation System
Segev Shlomov, Sami Marreed, Avi Yaeli
Towards Automatic Composition of ASP Programs from Natural Language Specifications
Manuel Borroto Santana, Irfan Kareem, Francesco Ricca
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
Yujie Lin, Chen Zhao, Minglai Shao et al.
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation
Mengmeng Zhan, Zongqian Wu, Rongyao Hu et al.
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Jihyeon Seong, Sekwang Oh, Jaesik Choi
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract)
Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou et al.
Towards Exact Computation of Inductive Bias
Akhilan Boopathy, William Yue, Jaedong Hwang et al.
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
Chengrui Gao, Haopu Shang, Ke Xue et al.
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations
Ziqiao Meng, Liang Zeng, Zixing Song et al.