Papers
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
Zhen-Ting Liu, Shang-Tse Chen
Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees
Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret et al.
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Anay Mehrotra, Manolis Zampetakis, Paul Kassianik et al.
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
Chengtao Jian, Kai Yang, Yang Jiao
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives
Maitreya Patel, Abhiram Kusumba, Sheng Cheng et al.
Truncated Variance Reduced Value Iteration
Yujia Jin, Ishani Karmarkar, Aaron Sidford et al.
Truthful High Dimensional Sparse Linear Regression
Liyang Zhu, Amina Manseur, Meng Ding et al.
Truthfulness of Calibration Measures
Nika Haghtalab, Mingda Qiao, Kunhe Yang et al.
Truth is Universal: Robust Detection of Lies in LLMs
Lennart Bürger, Fred A. Hamprecht, Boaz Nadler
TSDS: Data Selection for Task-Specific Model Finetuning
Zifan Liu, Amin Karbasi, Theodoros Rekatsinas
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Alexander Nikitin, Letizia Iannucci, Samuel Kaski
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova et al.
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
Kiwoong Yoo, Owen Oertell, Junhyun Lee et al.
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
Zhenyi Lu, Chenghao Fan, Wei Wei et al.
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
Shuguang Yu, Shuxing Fang, Ruixin Peng et al.
Typicalness-Aware Learning for Failure Detection
Yijun Liu, Jiequan Cui, Zhuotao Tian et al.
UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles
Hui Ye, Rajshekhar Sunderraman, Shihao Ji
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
Yulong Hui, Yao Lu, Huanchen Zhang
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
Zhi Zheng, Changliang Zhou, Xialiang Tong et al.
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
Yuchuan Tian, Zhijun Tu, Hanting Chen et al.
UDON: Universal Dynamic Online distillatioN for generic image representations
Nikolaos-Antonios Ypsilantis, Kaifeng Chen, André Araujo et al.
UDPM: Upsampling Diffusion Probabilistic Models
Shady Abu-Hussein, Raja Giryes
UGC: Universal Graph Coarsening
Mohit Kataria, Sandeep Kumar, Jayadeva