Papers
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints
Jiajin Li, Sirui Lin, Jose Blanchet et al.
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting
Yuzhou Chen, Yulia Gel, H. Vincent Poor
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
Andaç Demir, Baris Coskunuzer, Yulia Gel et al.
TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation
Pengfei Li, Beiwen Tian, Yongliang Shi et al.
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers
Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J Kim
Top Two Algorithms Revisited
Marc Jourdan, Rémy Degenne, Dorian Baudry et al.
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing, Gabriele Corso, Jeffrey Chang et al.
TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies
Junting Dong, Qi Fang, Yudong Guo et al.
Touch and Go: Learning from Human-Collected Vision and Touch
Fengyu Yang, Chenyang Ma, Jiacheng Zhang et al.
To update or not to update? Neurons at equilibrium in deep models
Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
Toward a realistic model of speech processing in the brain with self-supervised learning
Juliette MILLET, Charlotte Caucheteux, pierre orhan et al.
Toward Efficient Robust Training against Union of $\ell_p$ Threat Models
Gaurang Sriramanan, Maharshi Gor, Soheil Feizi
Toward Robust Spiking Neural Network Against Adversarial Perturbation
LING LIANG, Kaidi Xu, Xing Hu et al.
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
Rihab Gorsane, Omayma Mahjoub, Ruan John de Kock et al.
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
Wenying Deng, Beau Coker, Rajarshi Mukherjee et al.
Towards Better Evaluation for Dynamic Link Prediction
Farimah Poursafaei, Shenyang Huang, Kellin Pelrine et al.
Towards Consistency in Adversarial Classification
Laurent Meunier, Raphael Ettedgui, Rafael Pinot et al.
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas, Marios Kountouris
Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks
Yabo Zhang, mingshuai Yao, Yuxiang Wei et al.
Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization
Yang Zhao, Chen Zhang, Haifeng Huang et al.
Towards Efficient 3D Object Detection with Knowledge Distillation
Jihan Yang, Shaoshuai Shi, Runyu Ding et al.
Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai, Lu Hou, Lifeng Shang et al.
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning
Zaiyu Huang, Hanhui Li, Zhenyu Xie et al.
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Yuanpei Chen, Tianhao Wu, Shengjie Wang et al.