Papers
Transform Once: Efficient Operator Learning in Frequency Domain
Michael Poli, Stefano Massaroli, Federico Berto et al.
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
Libin Zhu, Chaoyue Liu, Misha Belkin
Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors
Wenhao Zhang, Ying Nian Wu, Si Wu
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang, Jimeng Sun
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
Haotao Wang, Junyuan Hong, Aston Zhang et al.
TREC: Transient Redundancy Elimination-based Convolution
Jiawei Guan, Feng Zhang, Jiesong Liu et al.
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Alexander Thebelt, Calvin Tsay, Robert Lee et al.
TreeMoCo: Contrastive Neuron Morphology Representation Learning
Hanbo Chen, Jiawei Yang, Daniel Iascone et al.
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
Ching-Yao Chuang, Stefanie Jegelka
Triangulation candidates for Bayesian optimization
Robert B. Gramacy, Annie Sauer, Nathan Wycoff
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
Pranjal Awasthi, Abhimanyu Das, Weihao Kong et al.
Truly Deterministic Policy Optimization
Ehsan Saleh, Saba Ghaffari, Tim Bretl et al.
Truncated Matrix Power Iteration for Differentiable DAG Learning
Zhen Zhang, Ignavier Ng, Dong Gong et al.
Truncated proposals for scalable and hassle-free simulation-based inference
Michael Deistler, Pedro J Goncalves, Jakob H Macke
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim et al.
Trustworthy Monte Carlo
Juha Harviainen, Mikko Koivisto, Petteri Kaski
Tsetlin Machine for Solving Contextual Bandit Problems
Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
Konstantin Sozykin, Andrei Chertkov, Roman Schutski et al.
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
Luke Marris, Ian Gemp, Thomas Anthony et al.
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus, José Pombal, Duarte Alves et al.
TUSK: Task-Agnostic Unsupervised Keypoints
Yuhe Jin, Weiwei Sun, Jan Hosang et al.
TVLT: Textless Vision-Language Transformer
Zineng Tang, Jaemin Cho, Yixin Nie et al.
TweetNERD - End to End Entity Linking Benchmark for Tweets
Shubhanshu Mishra, Aman Saini, Raheleh Makki et al.
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Shangbin Feng, Zhaoxuan Tan, Herun Wan et al.
Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime
Naoki Nishikawa, Taiji Suzuki, Atsushi Nitanda et al.