Papers
11,015 papers found
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search
Fangzheng Sun, Yang Liu, Jian-Xun Wang et al.
Symmetric Pruning in Quantum Neural Networks
Xinbiao Wang, Junyu Liu, Tongliang Liu et al.
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
Bo Zhao, Iordan Ganev, Robin Walters et al.
SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
Jingdong Zhang, Qunxi Zhu, Wei Yang et al.
Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
Kai Xu, Georgi Ganev, Emile Joubert et al.
Systematic Rectification of Language Models via Dead-end Analysis
Meng Cao, Mehdi Fatemi, Jackie CK Cheung et al.
TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
Jintai Chen, KuanLun Liao, Yanwen Fang et al.
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Noah Hollmann, Samuel Müller, Katharina Eggensperger et al.
Tailoring Language Generation Models under Total Variation Distance
Haozhe Ji, Pei Ke, Zhipeng Hu et al.
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Alan Jeffares, Tennison Liu, Jonathan Crabbé et al.
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
Shaokun Zhang, Feiran Jia, Chi Wang et al.
Task Ambiguity in Humans and Language Models
Alex Tamkin, Kunal Handa, Avash Shrestha et al.
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
Zhili LIU, Kai Chen, Jianhua Han et al.
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
Haoxuan Li, Yan Lyu, Chunyuan Zheng et al.
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim et al.
TempCLR: Temporal Alignment Representation with Contrastive Learning
Yuncong Yang, Jiawei Ma, Shiyuan Huang et al.
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
Tianjun Zhang, Xuezhi Wang, Denny Zhou et al.
Temperature Schedules for self-supervised contrastive methods on long-tail data
Anna Kukleva, Moritz Böhle, Bernt Schiele et al.
Temporal Coherent Test Time Optimization for Robust Video Classification
Chenyu Yi, SIYUAN YANG, Yufei Wang et al.
Temporal Dependencies in Feature Importance for Time Series Prediction
Kin Kwan Leung, Clayton Rooke, Jonathan Smith et al.
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck et al.
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
Guangji Bai, Chen Ling, Liang Zhao