Papers
Trading Off Resource Budgets For Improved Regret Bounds
Thomas Orton, Damon Falck
Trading off Utility, Informativeness, and Complexity in Emergent Communication
Mycal Tucker, Roger P. Levy, Julie A Shah et al.
Training and Inference on Any-Order Autoregressive Models the Right Way
Andy Shih, Dorsa Sadigh, Stefano Ermon
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang et al.
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes
Maxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov et al.
Training Spiking Neural Networks with Event-driven Backpropagation
Yaoyu Zhu, Zhaofei Yu, Wei Fang et al.
Training Spiking Neural Networks with Local Tandem Learning
Qu Yang, Jibin Wu, Malu Zhang et al.
Training stochastic stabilized supralinear networks by dynamics-neutral growth
Wayne Soo, Mate Lengyel
Training Subset Selection for Weak Supervision
Hunter Lang, Aravindan Vijayaraghavan, David Sontag
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia et al.
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training
Zhenting Wang, Hailun Ding, Juan Zhai et al.
Trajectory balance: Improved credit assignment in GFlowNets
Nikolay Malkin, Moksh Jain, Emmanuel Bengio et al.
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Penghao Wu, Xiaosong Jia, Li Chen et al.
Trajectory Inference via Mean-field Langevin in Path Space
Lénaïc Chizat, Stephen Zhang, Matthieu Heitz et al.
Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions
Kiwon Lee, Andrew Cheng, Elliot Paquette et al.
TransBoost: Improving the Best ImageNet Performance using Deep Transduction
Omer Belhasin, Guy Bar-Shalom, Ran El-Yaniv
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
Kaitao Song, Yichong Leng, Xu Tan et al.
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Ioana Bica, Mihaela van der Schaar
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Bang An, Zora Che, Mucong Ding et al.
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching
Byoungjip Kim, Sungik Choi, Dasol Hwang et al.
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing
Yaodong Yang, Guangyong Chen, Weixun Wang et al.
Transformer Memory as a Differentiable Search Index
Yi Tay, Vinh Tran, Mostafa Dehghani et al.
Transformers from an Optimization Perspective
Yongyi Yang, zengfeng Huang, David P Wipf
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
Sungjun Cho, Seonwoo Min, Jinwoo Kim et al.
Transform Once: Efficient Operator Learning in Frequency Domain
Michael Poli, Stefano Massaroli, Federico Berto et al.